| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00001-intro 1 real.mp4 |
49.8 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00002-Data Science - Data Science and Business Buzzwords.mp4 |
34.1 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00003-Data Science - Analysis vs Analytics.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00004-Data Science - Business and Data Analytics, Data Science.mp4 |
40.4 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00005-Data Science - Business Intelligence, Machine Learning, Artificial Intelligence.mp4 |
68.1 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00006-Data Science - A Breakdown of our Data Science Infographic.mp4 |
56.8 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00007-Data Science - Traditional and Big Data, BI, Traditional Data Science and ML.mp4 |
109 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00008-Data Science - The Reason behind these Disciplines.mp4 |
64.6 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00009-Data Science - Techniques for Working with Traditional Data.mp4 |
131 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00010-Data Science - Real Life Examples of Traditional Data.mp4 |
19.8 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00011-Data Science - Techniques for Working with Big Data.mp4 |
68.7 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00012-Data Science - Real Life Examples of Big Data.mp4 |
15.4 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00013-Data Science - Business Intelligence (BI) Techniques.mp4 |
58.5 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00014-Data Science - Real Life Examples of Business Intelligence.mp4 |
43.6 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00015-4.7 Intro_to_DSc.mp4 |
88.9 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00016-Data Science - Real Life Examples of Traditional Methods.mp4 |
43 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00017-Data Science - Machine Learning (ML) Techniques.mp4 |
49.2 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00018-Data Science - Types of Machine Learning.mp4 |
78.8 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00019-Data Science - Real Life Examples of Machine Learning (ML).mp4 |
34.6 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00020-Data Science - Programming Languages and Software used in Data Science.mp4 |
104.3 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00021-Data Science - Finding the Job.mp4 |
43.2 MB |
| 365datascience_v2/Module-01/01-Intro-to-Data-and-Data-Science/00022-Data Science - Debunking Common Misconceptions.mp4 |
87.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00001-1. Getting to know Excel_365ds.mp4 |
7.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00002-2. Data entry - 365ds.mp4 |
7.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00003-3. Formatting - 365ds.mp4 |
14.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00004-4. Rows and columns - 365ds.mp4 |
3.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00005-5. Formulas -365ds.mp4 |
5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00006-6. Functions with 365 ds.mp4 |
7.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00007-7. Cut, copy, paste.mp4 |
5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00008-8. paste special.mp4 |
3.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00009-9. alt enter.mp4 |
1.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00010-10. text to colums.mp4 |
4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00011-11. set print area.mp4 |
2.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00012-12. Wrap text.mp4 |
1.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00013-13. Hyperlinks .mp4 |
2.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00014-14. Freeze panes - 365ds.mp4 |
7.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00015-15. Tell me what you want to do.mov |
9.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00016-16. Pivot Tables.mp4 |
8.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00017-17. Formatting.mp4 |
3.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00018-18. Macros.mp4 |
7.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00019-19. RE-use macros.mp4 |
3.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00020-20. Fast scroll.mp4 |
9.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00021-21. F5 and Enter.mp4 |
6.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00022-22. Fixing References.mp4 |
6.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00023-23. Select special.mp4 |
4.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00024-24. Dynamic names.mp4 |
5.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00025-25. Naming ranges.mp4 |
3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00026-26. Custom formatting.mp4 |
3.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00027-27. Data Validation.mp4 |
4.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00028-28. Custom sort.mp4 |
3.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00029-29. Shortcuts.mp4 |
17.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00030-30. Multiply by 1.mp4 |
5.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00031-31. Find and replace.mp4 |
7.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00032-32. Replace formats.mp4 |
4.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00033-33. Green references.mp4 |
4.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00034-34 Beauty saving.mp4 |
4.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00035-35. F2.mp4 |
5.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00036-36. Conditional formatting.mp4 |
19.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00037-37. If.mp4 |
6.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00038-38. Enlarge the formula bar.mp4 |
2.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00039-1. Sum Functions.mp4 |
9.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00040-2. count.mp4 |
8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00041-41. Average.mp4 |
5.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00042-42. Text function.mp4 |
15.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00043-43. Working with text.mp4 |
7.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00044-44. Max and Min.mp4 |
6.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00045-45 show that equeals and plus are the same.mp4 |
2.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00046-46. Round.mp4 |
2.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00047-47 Lookup.mp4 |
27 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00048-48. Index and match.mp4 |
32.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00049-49. iferror.mp4 |
4.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00050-50. Rank.mp4 |
9.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00051-51. Choose.mp4 |
11.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00052-52. Goal seek.mp4 |
8.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00053-53. Data Tables.mp4 |
9.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00054-58. Intro.mp4 |
4.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00055-59. What you will see next.mp4 |
5.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00056-60 Data sourse.mp4 |
12.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00057-61.mp4 |
16.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00058-62. create a code.mp4 |
14.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00059-63.mp4 |
12.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00060-64. Vlook up.mp4 |
37.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00061-65 Sumif.mp4 |
29 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00062-66 Index match.mp4 |
34.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00063-67. Mapping.mp4 |
29.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00064-68 Mapping exercise.mp4 |
16.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00065-69. Building Pl.mp4 |
11 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00066-70. Formating a PL.mp4 |
10.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00067-71 Fill in the PL.mp4 |
14.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00068-72 Countif.mp4 |
14 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00069-73. percentage variations.mp4 |
12.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00070-74. Charts.mp4 |
4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00071-75. inserting charts.mp4 |
8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00072-76. formatting.mp4 |
9.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00073-77 Modifying.mp4 |
11.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00074-78. bridge chart.mp4 |
5.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00075-79. Treemap.mp4 |
4.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00076-80.Sparklines.mp4 |
11.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00077-82. Column stacked chart.mp4 |
18.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00078-83. Doughnut chart.mp4 |
17.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00079-84. Area and line chart.mp4 |
11.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00080-85. Bridge.mp4 |
21.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00081-86. Introduction.mp4 |
5.8 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00082-87. the finance.mp4 |
15.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00083-88.mp4 |
10.4 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00084-89. Adjusting pivot tables.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00085-90. GetPivotData.mp4 |
13 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00086-91. Slicers.mp4 |
21.2 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00087-94. Introduction.mp4 |
8.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00088-95. SAP Data.mp4 |
19.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00089-96. Mapping.mp4 |
22.7 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00090-97. Structure.mp4 |
11 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00091-98. Layout.mp4 |
10.5 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00092-99..mp4 |
6.9 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00093-100. the finance.mp4 |
17 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00094-101. GetPivotData.mp4 |
31 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00095-193. inserting slisers.mp4 |
15.1 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00096-104. formatting slicers.mp4 |
14.3 MB |
| 365datascience_v2/Module-01/02-Introduction-to-Microsoft-Excel/00097-105. playing with slicers.mp4 |
16.2 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00001-Why Excel and Why Modeling.mp4 |
8.9 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00002-Pro Formatting.mp4 |
26.5 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00003-Cell Styles.mp4 |
27.1 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00004-FP and Paste Sp.mp4 |
12.3 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00005-Format Cells Pt I.mp4 |
13.2 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00006-Custom Numbers.mp4 |
18.6 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00007-Cond Formatting.mp4 |
25.7 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00008-Filter by Color.mp4 |
21.6 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00009-Split Screen.mp4 |
38.7 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00010-F keys.mp4 |
23.5 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00011-Select Vis Cells.mp4 |
17.4 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00012-Group Cols and Rows.mp4 |
36.5 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00013-Group Sheets.mp4 |
6.2 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00014-F and R - Formulas.mp4 |
26 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00015-F and R Formatting.mp4 |
32.4 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00016-circ refs the basics.mp4 |
14.4 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00017-Circ Refs Example.mp4 |
10.2 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00018-Trace Precedents.mp4 |
21 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00019-Nested Functions.mp4 |
9.1 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00020-Index and Match.mp4 |
31.6 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00021-Advanced Excel - Index, Match, Match.mp4 |
16.5 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00022-INDIRECT Vlookup Indirect.mp4 |
19 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00023-Rols Cols. Vlookup and Cols.mp4 |
17.7 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00024-Vlookup and Match.mp4 |
7.4 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00025-Vlookup and Choose.mp4 |
10.1 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00026-Offset, Offset and Match.mp4 |
20.7 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00027-Date Functions.mp4 |
14.8 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00028-Advanced Excel - Tips and Tricks - Part I.mp4 |
38.9 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00029-Advanced Excel - Tips and Tricks - Part II.mp4 |
38 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00030-Advanced Excel - Tips and Tricks - Part III.mp4 |
29.5 MB |
| 365datascience_v2/Module-01/03-Advanced-Microsoft-Excel/00031-Advanced Excel - Tips and Tricks - Part IV.mp4 |
22.5 MB |
| 365datascience_v2/Module-01/04-Probability/00001-1.2.mp4 |
24.3 MB |
| 365datascience_v2/Module-01/04-Probability/00002-1.3.mp4 |
26.3 MB |
| 365datascience_v2/Module-01/04-Probability/00003-1.4.mp4 |
18.6 MB |
| 365datascience_v2/Module-01/04-Probability/00004-1.5.mp4 |
17.7 MB |
| 365datascience_v2/Module-01/04-Probability/00005-2.1.mp4 |
6.8 MB |
| 365datascience_v2/Module-01/04-Probability/00006-2.2 Permutation 30.04.mp4 |
11 MB |
| 365datascience_v2/Module-01/04-Probability/00007-2.3.mp4 |
10.9 MB |
| 365datascience_v2/Module-01/04-Probability/00008-2.4.mp4 |
11.9 MB |
| 365datascience_v2/Module-01/04-Probability/00009-2.5. Probability - Why do we use a different formula.mp4 |
15.6 MB |
| 365datascience_v2/Module-01/04-Probability/00010-2.6.mp4 |
18.7 MB |
| 365datascience_v2/Module-01/04-Probability/00011-2.7.mp4 |
13 MB |
| 365datascience_v2/Module-01/04-Probability/00012-2.8.mp4 |
14.5 MB |
| 365datascience_v2/Module-01/04-Probability/00013-Lottery - additional 0.mp4 |
12.8 MB |
| 365datascience_v2/Module-01/04-Probability/00014-2.10 Summary 30.04.mp4 |
10.9 MB |
| 365datascience_v2/Module-01/04-Probability/00015-2.11.mp4 |
247.1 MB |
| 365datascience_v2/Module-01/04-Probability/00016-3.1.mp4 |
14.7 MB |
| 365datascience_v2/Module-01/04-Probability/00017-3.2 (Exclute - Exclude).mp4 |
14.5 MB |
| 365datascience_v2/Module-01/04-Probability/00018-3.3.mp4 |
10.6 MB |
| 365datascience_v2/Module-01/04-Probability/00019-3.4.mp4 |
19.4 MB |
| 365datascience_v2/Module-01/04-Probability/00020-3.5.mp4 |
9.7 MB |
| 365datascience_v2/Module-01/04-Probability/00021-3.6.mp4 |
11.4 MB |
| 365datascience_v2/Module-01/04-Probability/00022-3.7.mp4 |
14.8 MB |
| 365datascience_v2/Module-01/04-Probability/00023-Law of Total Probability.mp4 |
11 MB |
| 365datascience_v2/Module-01/04-Probability/00024-Additive Law - table fixed.mp4 |
8.7 MB |
| 365datascience_v2/Module-01/04-Probability/00025-3.9.mp4 |
15.2 MB |
| 365datascience_v2/Module-01/04-Probability/00026-3.10 Bayes Rule.mp4 |
21 MB |
| 365datascience_v2/Module-01/04-Probability/00027-Bayesian (12.09).mp4 |
45.2 MB |
| 365datascience_v2/Module-01/04-Probability/00028-4.1 An overview of distributions.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/04-Probability/00029-4.2 18.07.mp4 |
24.3 MB |
| 365datascience_v2/Module-01/04-Probability/00030-4.3..mp4 |
8.2 MB |
| 365datascience_v2/Module-01/04-Probability/00031-4.4..mp4 |
8.9 MB |
| 365datascience_v2/Module-01/04-Probability/00032-4,5.mp4 |
11.2 MB |
| 365datascience_v2/Module-01/04-Probability/00033-4.6 np.mp4 |
19.3 MB |
| 365datascience_v2/Module-01/04-Probability/00034-4.7 19.07.mp4 |
16.5 MB |
| 365datascience_v2/Module-01/04-Probability/00035-4.8 18.07.mp4 |
20.1 MB |
| 365datascience_v2/Module-01/04-Probability/00036-4.9 Normal Distribution-1080 FINAL.mp4 |
83.4 MB |
| 365datascience_v2/Module-01/04-Probability/00037-4.9.1..mp4 |
14.9 MB |
| 365datascience_v2/Module-01/04-Probability/00038-4.10.mp4 |
10.1 MB |
| 365datascience_v2/Module-01/04-Probability/00039-4.11.mp4 |
9.7 MB |
| 365datascience_v2/Module-01/04-Probability/00040-4.12 Exponential Distribution-with LOGO.mp4 |
68.5 MB |
| 365datascience_v2/Module-01/04-Probability/00041-4.13 Logistic Distribution with LOGO.mp4 |
87 MB |
| 365datascience_v2/Module-01/04-Probability/00042-Dist attempt 2.mp4 |
72.9 MB |
| 365datascience_v2/Module-01/04-Probability/00043-5.1 Tie-ins to Finance-1080p-FINAL.mp4 |
183.9 MB |
| 365datascience_v2/Module-01/04-Probability/00044-5.2 Statistics-1080p-FINAL.mp4 |
144.3 MB |
| 365datascience_v2/Module-01/04-Probability/00045-5.3 Data Science-1080p-FINAL.mp4 |
126.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00001-3. statistics.mp4 |
28.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00001-4.10. Hypothesis testing.mp4 |
53 MB |
| 365datascience_v2/Module-01/05-Statistics/00002-1.2. Population and sample.mp4 |
69.5 MB |
| 365datascience_v2/Module-01/05-Statistics/00003-2.1. Types of data_new.mp4 |
80.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00004-2.2. Levels of measurement.mp4 |
51.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00005-2.3. Categorical variables. Visualization techniques.mp4 |
12.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00006-2.4. Numerical variables. Frequency distribution table.mp4 |
21.2 MB |
| 365datascience_v2/Module-01/05-Statistics/00007-2.5. The histogram.mp4 |
12 MB |
| 365datascience_v2/Module-01/05-Statistics/00008-2.6. Cross table and scatter plot.mp4 |
32 MB |
| 365datascience_v2/Module-01/05-Statistics/00009-2.7. Mean, median, mode.mp4 |
31.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00010-2.8. Skewness.mp4 |
16.7 MB |
| 365datascience_v2/Module-01/05-Statistics/00011-2.9. Variance.mp4 |
44.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00012-2.10. Standard deviation and coefficient of variation.mp4 |
37.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00013-2.11. Covariance.mp4 |
24 MB |
| 365datascience_v2/Module-01/05-Statistics/00014-2.12. Correlation.mp4 |
25.9 MB |
| 365datascience_v2/Module-01/05-Statistics/00015-2.13. Practical example.mp4 |
123 MB |
| 365datascience_v2/Module-01/05-Statistics/00016-3.1. Introduction.mp4 |
17.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00017-3.2. What is a distribution.mp4 |
64.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00018-3.3. The normal distribution.mp4 |
34 MB |
| 365datascience_v2/Module-01/05-Statistics/00019-3.4. The standard normal distribution.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00020-3.5. The central limit theorem.mp4 |
70.5 MB |
| 365datascience_v2/Module-01/05-Statistics/00021-3.6. Standard error.mp4 |
23.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00022-3.7. Estimators and estimates.mp4 |
60.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00023-3.8. What is a confidence interval.mp4 |
57.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00024-3.9. Population variance known, z-score.mp4 |
60.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00025-3.9_1. Confidence interval clarifications.mp4 |
52.2 MB |
| 365datascience_v2/Module-01/05-Statistics/00026-3.10. Student's T Distribution.mp4 |
37.9 MB |
| 365datascience_v2/Module-01/05-Statistics/00027-3.11. Population variance unknown, t-score.mp4 |
9.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00028-3.12. Margin of error.mp4 |
17.7 MB |
| 365datascience_v2/Module-01/05-Statistics/00029-3.13. Confidence intervals. Two means. Dependent samples.mp4 |
57.1 MB |
| 365datascience_v2/Module-01/05-Statistics/00030-3.14. Confidence intervals. Two means. Independent samples (Part1).mp4 |
20.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00031-3.15. Confidence intervals. Two means. Independent samples (Part2).mp4 |
20.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00032-3.16. Confidence intervals, ind samp, var unkn assumed diff.mp4 |
21.6 MB |
| 365datascience_v2/Module-01/05-Statistics/00033-3.17. Practical example_Al bundy.mp4 |
69.1 MB |
| 365datascience_v2/Module-01/05-Statistics/00034-4.1. Null vs alternative.mp4 |
87.1 MB |
| 365datascience_v2/Module-01/05-Statistics/00035-4.2. Rejection region and significance level.mp4 |
106.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00036-4.3. Type I error vs Type II error.mp4 |
38.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00037-4.4. Test for the mean. Population variance known.mp4 |
43.5 MB |
| 365datascience_v2/Module-01/05-Statistics/00038-4.5. P-value.mp4 |
82.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00039-4.6. Test for the mean. Population variance unknown.mp4 |
33.8 MB |
| 365datascience_v2/Module-01/05-Statistics/00040-4.7. Test for the mean. Dependent samples.mp4 |
41.3 MB |
| 365datascience_v2/Module-01/05-Statistics/00041-4.8. Test for the mean. Independent samples (Part1).mp4 |
25.4 MB |
| 365datascience_v2/Module-01/05-Statistics/00042-4.9. Test for the mean. Independent samples (Part2).mp4 |
31.2 MB |
| 365datascience_v2/Module-01/05-Statistics/00043-4.10. Hypothesis testing.mp4.part |
20 MB |
| 365datascience_v2/Module-01/06-Mathematics/00001-2.1. What is a matrix.mp4 |
33 MB |
| 365datascience_v2/Module-01/06-Mathematics/00002-2.2. Scalars and vectors.mp4 |
28.9 MB |
| 365datascience_v2/Module-01/06-Mathematics/00003-2.3. Linear algebra and geometry.mp4 |
45.8 MB |
| 365datascience_v2/Module-01/06-Mathematics/00004-2.4. Scalars, vectors, and matrices in Python.mp4 |
24.2 MB |
| 365datascience_v2/Module-01/06-Mathematics/00005-2.5. Tensors.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/06-Mathematics/00006-2.6. Addition and subtraction.mp4 |
35.3 MB |
| 365datascience_v2/Module-01/06-Mathematics/00007-2.7. Errors when adding matrices.mp4 |
9.1 MB |
| 365datascience_v2/Module-01/06-Mathematics/00008-2.8. Transpose of a matrix.mp4 |
35 MB |
| 365datascience_v2/Module-01/06-Mathematics/00009-2.9. Dot product.mp4 |
22.1 MB |
| 365datascience_v2/Module-01/06-Mathematics/00010-2.10. Dot product of matrices.mp4 |
49.1 MB |
| 365datascience_v2/Module-01/06-Mathematics/00011-2.12. Why is linear algebra useful.mp4 |
122.6 MB |
| 365datascience_v2/Module-01/07-Tableau/00001-8. Tableau.mp4 |
28.5 MB |
| 365datascience_v2/Module-01/07-Tableau/00002-Tableau - Why Use Tableau Make Your Data Make an Impact.mp4 |
24.5 MB |
| 365datascience_v2/Module-01/07-Tableau/00003-Tableau - Let's Download Tableau Public.mp4 |
10.6 MB |
| 365datascience_v2/Module-01/07-Tableau/00004-3. Tableau - Connecting data - corrected.mp4 |
4.8 MB |
| 365datascience_v2/Module-01/07-Tableau/00005-Tableau - Exploring Tableau's Interface.mp4 |
32.3 MB |
| 365datascience_v2/Module-01/07-Tableau/00006-Tableau - Let's Create our first Chart in Tableau!.mp4 |
32.3 MB |
| 365datascience_v2/Module-01/07-Tableau/00007-Tableau - Duplicating a Sheet.mp4 |
10.9 MB |
| 365datascience_v2/Module-01/07-Tableau/00008-Tableau - Creating a Table.mp4 |
16.6 MB |
| 365datascience_v2/Module-01/07-Tableau/00009-Tableau - Creating Custom Fields.mp4 |
9.1 MB |
| 365datascience_v2/Module-01/07-Tableau/00010-Tableau - Creating a Custom Field and Adding Calculations to a Table.mp4 |
15 MB |
| 365datascience_v2/Module-01/07-Tableau/00011-Tableau - Adding Totals and Subtotals.mp4 |
8.7 MB |
| 365datascience_v2/Module-01/07-Tableau/00012-Tableau - Adding a Custom Calculation.mp4 |
15 MB |
| 365datascience_v2/Module-01/07-Tableau/00013-Tableau - Inserting a Filter.mp4 |
11.4 MB |
| 365datascience_v2/Module-01/07-Tableau/00014-Tableau - Working with Joins in Tableau.mp4 |
19.3 MB |
| 365datascience_v2/Module-01/07-Tableau/00015-Introduction to the exercise.mp4 |
9.5 MB |
| 365datascience_v2/Module-01/07-Tableau/00016-Building a Tableau dashboard Three types of charts you want to have in a Tableau dashboard.mp4 |
7.5 MB |
| 365datascience_v2/Module-01/07-Tableau/00017-Tableau - Using Joins in Tableau.mp4 |
19.3 MB |
| 365datascience_v2/Module-01/07-Tableau/00018-Tableau - Performing a Numbers Check - Attempt #1.mp4 |
13.6 MB |
| 365datascience_v2/Module-01/07-Tableau/00019-Tableau - Blending Data in Tableau.mp4 |
19 MB |
| 365datascience_v2/Module-01/07-Tableau/00020-Tableau - Performing a Numbers Check - Attempt #2.mp4 |
13.2 MB |
| 365datascience_v2/Module-01/07-Tableau/00021-Tableau - First chart.mp4 |
14 MB |
| 365datascience_v2/Module-01/07-Tableau/00022-Tableau - Second chart.mp4 |
10 MB |
| 365datascience_v2/Module-01/07-Tableau/00023-Tableau - Third Chart.mp4 |
9.3 MB |
| 365datascience_v2/Module-01/07-Tableau/00024-Tableau - Creating and Formatting a Dashboard.mp4 |
17.4 MB |
| 365datascience_v2/Module-01/07-Tableau/00025-Tableau - Adding Interactive Filters for Improved Analysis.mp4 |
14.8 MB |
| 365datascience_v2/Module-01/07-Tableau/00026-Tableau - filter- DS logo.mp4 |
8.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00001-WDTCC - final with screen.mp4 |
71.4 MB |
| 365datascience_v2/Module-01/08-PowerBI/00002-1.1..mp4 |
57.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00003-1.2..mp4 |
8.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00004-1.3..mp4 |
4.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00005-2.1.new.mp4 |
16.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00006-2.2. new.mp4 |
23.4 MB |
| 365datascience_v2/Module-01/08-PowerBI/00007-2.3.final.mp4 |
6.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00008-3.0..mp4 |
36 MB |
| 365datascience_v2/Module-01/08-PowerBI/00009-3.1..mp4 |
8.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00010-3.2.mp4 |
9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00011-3.3.mp4 |
25.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00012-3.4.mp4 |
11.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00013-3.5.final.mp4 |
22.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00014-3.6..mp4 |
5.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00015-3.7..mp4 |
5.4 MB |
| 365datascience_v2/Module-01/08-PowerBI/00016-3.8.mp4 |
12.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00017-3.9.mp4 |
19.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00018-3.10.mp4 |
9.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00019-а.3.1..mp4 |
22.4 MB |
| 365datascience_v2/Module-01/08-PowerBI/00020-a.3.2..mp4 |
19 MB |
| 365datascience_v2/Module-01/08-PowerBI/00021-4.1..mp4 |
12.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00022-4.2..mp4 |
11.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00023-4.3..mp4 |
4.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00024-4.4..mp4 |
13 MB |
| 365datascience_v2/Module-01/08-PowerBI/00025-4.5..mp4 |
13.1 MB |
| 365datascience_v2/Module-01/08-PowerBI/00026-4.6..mp4 |
7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00027-4.7.mp4 |
8.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00028-4.8.mp4 |
20.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00029-4.9.mp4 |
16 MB |
| 365datascience_v2/Module-01/08-PowerBI/00030-4.10..mp4 |
9.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00031-4.11.1.mp4 |
20.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00032-4.11.2.mp4 |
28 MB |
| 365datascience_v2/Module-01/08-PowerBI/00033-4.12.mp4 |
9.1 MB |
| 365datascience_v2/Module-01/08-PowerBI/00034-4.13..mp4 |
15.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00035-4.14.mp4 |
18.3 MB |
| 365datascience_v2/Module-01/08-PowerBI/00036-4.15.mp4 |
21.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00037-4.16.mp4 |
19.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00038-4.17.mp4 |
36.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00039-a.4.1..mp4 |
19.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00040-a.4.2..mp4 |
23.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00041-a.4.3..mp4 |
19.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00042-S. 5, Pt. 1.mp4 |
7.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00043-S. 5, Pt. 2.mp4 |
9.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00044-S. 5, L. 3.mp4 |
22.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00045-S. 5, L. 4.mp4 |
23.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00046-S. 5, L. 5.mp4 |
22.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00047-S. 5, L. 6.mp4 |
14 MB |
| 365datascience_v2/Module-01/08-PowerBI/00048-5.7..mp4 |
12.3 MB |
| 365datascience_v2/Module-01/08-PowerBI/00049-S. 5, L. 8.mp4 |
12.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00050-5.9.mp4 |
19.6 MB |
| 365datascience_v2/Module-01/08-PowerBI/00051-5.10.mp4 |
32.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00052-5.11.mp4 |
15.1 MB |
| 365datascience_v2/Module-01/08-PowerBI/00053-5.12.mp4 |
9.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00054-5.13.mp4 |
15.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00055-5.14 project.mp4 |
13.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00056-a.5.1..mp4 |
6.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00057-a.5.2..mp4 |
5.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00058-a.5.3..mp4 |
14.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00059-a.5.4..mp4 |
17.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00060-6.1..mp4 |
6.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00061-T.6, Pt. 2.mp4 |
18.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00062-T.6, Pt. 3.mp4 |
12.9 MB |
| 365datascience_v2/Module-01/08-PowerBI/00063-6.4..mp4 |
16.3 MB |
| 365datascience_v2/Module-01/08-PowerBI/00064-T.6, Pt. 5 project.mp4 |
17.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00065-T. 6, Pt. 6 project.mp4 |
14.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00066-6.7..mp4 |
12.4 MB |
| 365datascience_v2/Module-01/08-PowerBI/00067-T. 6, Pt. 8.mp4 |
33.2 MB |
| 365datascience_v2/Module-01/08-PowerBI/00068-T. 6, Pt. 9.mp4 |
8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00069-T. 6, Pt. 10.mp4 |
16.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00070-T. 6, Pt. project.mp4 |
20.5 MB |
| 365datascience_v2/Module-01/08-PowerBI/00071-T. 6, Pt. 12.mp4 |
20.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00072-T. 6, Pt. 13.mp4 |
15.8 MB |
| 365datascience_v2/Module-01/08-PowerBI/00073-6.14..mp4 |
31.3 MB |
| 365datascience_v2/Module-01/08-PowerBI/00074-7.1.new.mp4 |
7.7 MB |
| 365datascience_v2/Module-01/08-PowerBI/00075-7.2..mp4 |
19.4 MB |
| 365datascience_v2/Module-02/01-SQL/00001-6. SQL.mp4 |
32.1 MB |
| 365datascience_v2/Module-02/01-SQL/00002-1.2 Why SQL.tsc365_dsproj.mp4 |
38 MB |
| 365datascience_v2/Module-02/01-SQL/00003-1.3 Why MySQL_365_ds.mp4 |
17.8 MB |
| 365datascience_v2/Module-02/01-SQL/00004-1.4 Introduction to Databases_365ds.mp4 |
57.3 MB |
| 365datascience_v2/Module-02/01-SQL/00005-2.1 SQL as a declarative language_365_ds.mp4 |
26.9 MB |
| 365datascience_v2/Module-02/01-SQL/00006-2.2 DDL_365_ds.mp4 |
23 MB |
| 365datascience_v2/Module-02/01-SQL/00007-2.3 Keywords_365_ds.mp4 |
4.5 MB |
| 365datascience_v2/Module-02/01-SQL/00008-2.4 DML_365_ds.mp4 |
26.7 MB |
| 365datascience_v2/Module-02/01-SQL/00009-2.5 DC_365_dsL.mp4 |
31.6 MB |
| 365datascience_v2/Module-02/01-SQL/00010-2.6 TCL_365ds.mp4 |
18.5 MB |
| 365datascience_v2/Module-02/01-SQL/00011-3.1 Relational Database Essentials_365ds.mp4 |
57.1 MB |
| 365datascience_v2/Module-02/01-SQL/00012-3.2 Databases vs. Spreadsheets_365ds.mp4 |
86.7 MB |
| 365datascience_v2/Module-02/01-SQL/00013-3.3 Database Terminology_365ds.mp4 |
48.6 MB |
| 365datascience_v2/Module-02/01-SQL/00014-3.4 Rel Schemas - Primary Key_365ds.mp4 |
28.6 MB |
| 365datascience_v2/Module-02/01-SQL/00015-3.5 Rel Schemas Foreign Key_365ds.mp4 |
29.8 MB |
| 365datascience_v2/Module-02/01-SQL/00016-3.6 Rel Schemas Unique Keys Null Value_365dss.mp4 |
17.2 MB |
| 365datascience_v2/Module-02/01-SQL/00017-3.7 Relationships_365ds.mp4 |
26.6 MB |
| 365datascience_v2/Module-02/01-SQL/00018-4.1 Installing MySQL_365ds.mp4 |
70.2 MB |
| 365datascience_v2/Module-02/01-SQL/00019-4.2 Setting Up a Connection_365ds.mp4 |
18.4 MB |
| 365datascience_v2/Module-02/01-SQL/00020-4.2.2 nativeuser creation_365ds.mp4 |
45.4 MB |
| 365datascience_v2/Module-02/01-SQL/00021-4.3 Introduction to the MySQL Interface_new_365ds.mp4 |
33.8 MB |
| 365datascience_v2/Module-02/01-SQL/00022-5.1 Creating a Database - Part I_365ds.mp4 |
26.7 MB |
| 365datascience_v2/Module-02/01-SQL/00023-5.2 Creating a Database - Part II 365_ds.mp4 |
6.9 MB |
| 365datascience_v2/Module-02/01-SQL/00024-5.3 Introduction to Data Types_365ds.mp4 |
11.1 MB |
| 365datascience_v2/Module-02/01-SQL/00025-5.4 String Data Types_365ds.mp4 |
23.8 MB |
| 365datascience_v2/Module-02/01-SQL/00026-5.5 Integers_365ds.mp4 |
26.1 MB |
| 365datascience_v2/Module-02/01-SQL/00027-5.6 Fixed Floating Data Types_365ds.mp4 |
32.6 MB |
| 365datascience_v2/Module-02/01-SQL/00028-5.7 Other Useful Data Types_365ds.mp4 |
29.9 MB |
| 365datascience_v2/Module-02/01-SQL/00029-5.8 Creating a Table 365_ds.mp4 |
14.5 MB |
| 365datascience_v2/Module-02/01-SQL/00030-5.9 Using Databases and Tables 365_ds.mp4 |
9 MB |
| 365datascience_v2/Module-02/01-SQL/00031-5.10 Additional Notes on Using Tables 365_ds.mp4 |
7.3 MB |
| 365datascience_v2/Module-02/01-SQL/00032-6.1 PRIMARY KEY Constraint_365ds.mp4 |
24.4 MB |
| 365datascience_v2/Module-02/01-SQL/00033-6.2.1 FOREIGN KEY Constraint - Part I_365ds.mp4 |
22.4 MB |
| 365datascience_v2/Module-02/01-SQL/00034-6.2.2 FOREIGN KEY Constraint - Part II.mp4 |
30.6 MB |
| 365datascience_v2/Module-02/01-SQL/00035-6.3 UNIQUE Constraint_365ds.mp4 |
24.1 MB |
| 365datascience_v2/Module-02/01-SQL/00036-6.4 DEFAULT Constraint_365ds.mp4 |
26.5 MB |
| 365datascience_v2/Module-02/01-SQL/00037-6.5 NOT NULL Constraint - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00038-6.6 NOT NULL Constraint - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00039-7.1 Coding Techniques and Best Practices - Part I_365ds.mp4 |
23 MB |
| 365datascience_v2/Module-02/01-SQL/00040-7.2 Coding Tips and Best Practices - II_365ds.mp4 |
19.5 MB |
| 365datascience_v2/Module-02/01-SQL/00041-8.0 Loading the 'employees' Database_365ds.mp4 |
12.2 MB |
| 365datascience_v2/Module-02/01-SQL/00042-8.1 SELECT... FROM..._365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00043-8.2 WHERE_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00044-8.3 AND_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00045-8.4 OR_365ds.mp4 |
18 MB |
| 365datascience_v2/Module-02/01-SQL/00046-8.5 Operator Precedence_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00047-8.6 IN - NOT IN_365ds.mp4 |
17.1 MB |
| 365datascience_v2/Module-02/01-SQL/00048-8.7 LIKE - NOT LIKE_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00049-8.8 Wildcard Characters_365ds.mp4 |
8 MB |
| 365datascience_v2/Module-02/01-SQL/00050-8.9 BETWEEN... AND..._365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00051-8.10 IS NOT NULL - IS NULL_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00052-8.11 Other Comparison Operators_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00053-8.12 SELECT DISTINCT_365ds.mp4 |
9.4 MB |
| 365datascience_v2/Module-02/01-SQL/00054-8.14 ORDER BY_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00055-8.13 Introduction to Aggregate Functions_365ds.mp4 |
25.4 MB |
| 365datascience_v2/Module-02/01-SQL/00056-8.15 GROUP BY_365ds.mp4 |
31.4 MB |
| 365datascience_v2/Module-02/01-SQL/00057-8.16 Using Aliases (AS)_365ds.mp4 |
11.9 MB |
| 365datascience_v2/Module-02/01-SQL/00058-8.17 HAVING_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00059-8.18 WHERE vs HAVING - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00060-8.19 WHERE vs HAVING - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00061-8.20 LIMIT_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00062-9.1 The INSERT Statement - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00063-9.2 The INSERT Statement - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00064-9.3 Inserting Data INTO a New Table.mp4 |
20.2 MB |
| 365datascience_v2/Module-02/01-SQL/00065-10.0 TCL's COMMIT and ROLLBACK_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00066-10.1 The UPDATE Statement - Part I_365ds.mp4 |
16.6 MB |
| 365datascience_v2/Module-02/01-SQL/00067-10.2 The UPDATE Statement - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00068-11.1 The DELETE Statement - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00069-11.2 The DELETE Statement - Part II_365am.mp4 |
7.5 MB |
| 365datascience_v2/Module-02/01-SQL/00070-11.3 DROP vs TRUNCATE vs DELETE_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00071-BI SQL 12.1 COUNT()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00072-12.2 SUM()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00073-12.3 MIN() and MAX()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00074-12.4 AVG()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00075-12.5 ROUND()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00076-12.7 IFNULL() and COALESCE()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00077-12.8 Another Example of Using COALESCE()_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00078-13.1 Introduction to Joins_365ds.mp4 |
25.4 MB |
| 365datascience_v2/Module-02/01-SQL/00079-13.2 INNER JOINs - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00080-13.3 INNER JOIN - Part II_365ds.mp4 |
37.6 MB |
| 365datascience_v2/Module-02/01-SQL/00081-13.4 A Note on Using Joins_365ds.mp4 |
22.8 MB |
| 365datascience_v2/Module-02/01-SQL/00082-13.5 Duplicate Records_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00083-13.6 LEFT JOIN - Part I_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00084-13.7 LEFT JOIN - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00085-13.8 RIGHT JOIN_365ds.mp4 |
14 MB |
| 365datascience_v2/Module-02/01-SQL/00086-13.9 The New and the Old Join Syntax_365ds.mp4 |
18.6 MB |
| 365datascience_v2/Module-02/01-SQL/00087-13.10 JOIN and WHERE Used Together_365ds.mp4 |
13.3 MB |
| 365datascience_v2/Module-02/01-SQL/00088-13.10.1 CROSS JOIN_temp_365ds.mp4 |
40.7 MB |
| 365datascience_v2/Module-02/01-SQL/00089-13.11 Using Aggr Fcts and Joins_365ds.mp4 |
13.1 MB |
| 365datascience_v2/Module-02/01-SQL/00090-13.12 JOIN More Than Two Tables in SQL_365ds.mp4 |
16.1 MB |
| 365datascience_v2/Module-02/01-SQL/00091-13.13 Tips and Tricks for Joins_365ds.mp4 |
27.6 MB |
| 365datascience_v2/Module-02/01-SQL/00092-13.14 UNION vs UNION ALL_365ds.mp4 |
27 MB |
| 365datascience_v2/Module-02/01-SQL/00093-13.15 Subqueries - IN - WHERE 365_ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00094-13.16 Subqueries - EXISTS - WHERE_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00095-13.17 Subqueries SELECT FROM_365ds.mp4 |
42.4 MB |
| 365datascience_v2/Module-02/01-SQL/00096-13.18 SQL Self Join_365ds.mp4 |
43 MB |
| 365datascience_v2/Module-02/01-SQL/00097-13.19 Using SQL Views_365ds.mp4 |
36.2 MB |
| 365datascience_v2/Module-02/01-SQL/00098-14.1 Introduction to Stored Routines_365ds.mp4 |
19 MB |
| 365datascience_v2/Module-02/01-SQL/00099-14.2 Syntax St Procedures_365ds.mp4 |
22.3 MB |
| 365datascience_v2/Module-02/01-SQL/00100-14.3 St Procedures - Example - Part I_365ds.mp4 |
14.8 MB |
| 365datascience_v2/Module-02/01-SQL/00101-14.4 St Procedures - Example - Part II_365ds.mp4 |
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| 365datascience_v2/Module-02/01-SQL/00102-14.5 Another Way to Create a Procedure_365ds.mp4 |
17.6 MB |
| 365datascience_v2/Module-02/01-SQL/00103-14.6 St Procedures with an Input Parameter_365ds.mp4 |
35.4 MB |
| 365datascience_v2/Module-02/01-SQL/00104-14.7 St Procedures with an Output Parameter_365ds.mp4 |
18.2 MB |
| 365datascience_v2/Module-02/01-SQL/00105-14.8 Variables_365ds.mp4 |
32.1 MB |
| 365datascience_v2/Module-02/01-SQL/00106-14.9 User-Defined Functions in MySQL.mp4 |
26.9 MB |
| 365datascience_v2/Module-02/01-SQL/00107-14.10 Stored Routines - Conclusion_365ds.mp4 |
16.3 MB |
| 365datascience_v2/Module-02/01-SQL/00108-15.1 MySQL Variables - Local Variables_365ds.mp4 |
24.3 MB |
| 365datascience_v2/Module-02/01-SQL/00109-15.2 Session Variables_365ds.mp4 |
23.5 MB |
| 365datascience_v2/Module-02/01-SQL/00110-15.3 Global Variables_365ds.mp4 |
9.8 MB |
| 365datascience_v2/Module-02/01-SQL/00111-15.4 User-Defined vs System Variables_365ds.mp4 |
22.7 MB |
| 365datascience_v2/Module-02/01-SQL/00112-15.6 MySQL Indexes_365ds.mp4 |
36.6 MB |
| 365datascience_v2/Module-02/01-SQL/00113-15.7 The CASE Statement_365ds.mp4 |
29.9 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00001-9. SQL and Tableau.mp4 |
37.4 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00002-0.1 Introduction to software integration.mp4 |
38 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00003-0.2 Combining SQL and Tableau_bi.mp4 |
28.9 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00004-16.3 Installing Tableau Public_365ds.mp4 |
19.6 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00005-SQL Tableau - Loading the Database.mp4 |
17.1 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00006-SQL Tableau - Problem 1 Task.mp4 |
17.5 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00007-SQL Tableau - Problem 1 Solution in SQL.mp4 |
18.5 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00008-SQL Tableau - Export and Load CSV.mp4 |
13.7 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00009-SQL Tableau - Chart 1 Visualization Pt I.mp4 |
19.8 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00010-SQL Tableau - Chart 1 Visualization Pt II.mp4 |
22.1 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00011-SQL Tableau - Problem 2 Task.mp4 |
14.4 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00012-SQL Tableau - Problem 2 Solution in SQL.mp4 |
16.4 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00013-SQL Tableau - Chart 2 Visualization.mp4 |
24.5 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00014-SQL Tableau - Problem 3 Task.mp4 |
7.1 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00015-SQL Tableau - Problem 3 Solution in SQL.mp4 |
15.3 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00016-SQL Tableau - Chart 3 Visualization.mp4 |
17.1 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00017-SQL Tableau - Problem 4 Task.mp4 |
11.4 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00018-SQL Tableau - Problem 4 Solution in SQL.mp4 |
13.9 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00019-SQL Tableau - Chart 4 Visualization.mp4 |
10.6 MB |
| 365datascience_v2/Module-02/02-SQL_+_Tableau/00020-SQL Tableau - Problem 5 Organizing Charts 1-4 into a Dashboard.mp4 |
23.6 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00001-4. python.mp4 |
40.6 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00002-Introduction to Python - Programming Explained in 5 Minutes.mp4 |
26.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00003-Introduction to Python - Why Python.mp4 |
26.8 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00004-Introduction to Python - Why Jupyter.mp4 |
15.3 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00005-Introduction to Python - Installing Python and Jupyter.mp4 |
30.4 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00006-Introduction to Python - Jupyter's Interface - The Dashboard.mp4 |
6.8 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00007-Introduction to Python - Jupyter's Interface - Prerequisites for Coding.mp4 |
14.4 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00008-Introduction to Python - Python 2 vs Python 3.mp4 |
5.8 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00009-Introduction to Python - Variables.mp4 |
9.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00010-Introduction to Python - Numbers and Boolean Values.mp4 |
7.7 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00011-Introduction to Python - Strings.mp4 |
29 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00012-Introduction to Python - Arithmetic Operators.mp4 |
8.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00013-Introduction to Python - The Double Equality Sign.mp4 |
3.2 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00014-Introduction to Python - Reassign Values.mp4 |
2 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00015-Introduction to Python - Add Comments.mp4 |
7.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00016-Introduction to Python - Line Continuation.mp4 |
1.3 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00017-Introduction to Python - Indexing Elements.mp4 |
3 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00018-Introduction to Python - Structure Your Code with Indentation.mp4 |
8.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00019-Introduction to Python - Comparison Operators.mp4 |
4.8 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00020-Introduction to Python - Logical and Identity Operators.mp4 |
14.5 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00021-Introduction to Python - Introduction to the If Statement.mp4 |
14.6 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00022-Introduction to Python - Add an Else Statement.mp4 |
13.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00023-Introduction to Python - Else if, for Brief - Elif.mp4 |
30.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00024-Introduction to Python - A Note on Boolean Values.mp4 |
12.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00025-Introduction to Python - Defining a Function in Python.mp4 |
9.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00026-Introduction to Python - Creating a Function with a Parameter.mp4 |
21.5 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00027-Introduction to Python - Anotoher Way to Define a Function.mp4 |
14.3 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00028-Introduction to Python - Using a Function in Another Function.mp4 |
3.7 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00029-Introduction to Python - Combining Conditional Statements and Functions.mp4 |
7.6 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00030-Introduction to Python - Creating Functions Containing a Few Arguments.mp4 |
8.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00031-Introduction to Python - Notable Built-In Functions in Python.mp4 |
10 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00032-Introduction to Python - Lists.mp4 |
22.3 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00033-Introduction to Python - Help Yourself with Methods.mp4 |
20.6 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00034-Introduction to Python - List Slicing.mp4 |
13.7 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00035-Introduction to Python - Tuples.mp4 |
16.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00036-Introduction to Python - Dictionaries.mp4 |
26.4 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00037-Introduction to Python - For Loops.mp4 |
13.9 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00038-Introduction to Python - While Loops and Incrementing.mp4 |
22.1 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00039-Introduction to Python - Create Lists with the range() Function.mp4 |
15.4 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00040-Introduction to Python - Use Conditional Statements and Loops Together.mp4 |
16.7 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00041-Introduction to Python - All In - Conditional Statements, Functions, and Loops.mp4 |
4.8 MB |
| 365datascience_v2/Module-02/03-Introduction_to_Python/00042-Introduction to Python - Iterating over Dictionaries.mp4 |
17.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00001-1. What does the course cover.mp4 |
219.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00002-2. Why code and why Python.mp4 |
697.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00003-2. Installing Python_v2.mp4 |
225.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00004-3. Introducing Spyder.mp4 |
271.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00005-4. Print function.mp4 |
266.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00006-5. The solution.mp4 |
25 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00007-5.1 Variables.mp4 |
49.6 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00008-5.2 Strings.mp4 |
39 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00009-5.3. Let's write a program.mp4 |
20.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00010-5.4. Q1.mp4 |
8.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00011-5.5. Q2.mp4 |
8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00012-5.6. Q3.mp4 |
14.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00013-5.7. Q4.mp4 |
6.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00014-5.8. Q5.mp4 |
41.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00015-6.1_conditionals.mp4 |
248.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00016-6.2 Logical operators.mp4 |
15.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00017-6.3 Not true is false.mp4 |
14.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00018-6.4 IF statement.mp4 |
210.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00019-6.5 More on strings.mp4 |
272.6 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00020-6.6 More strings!.mp4 |
222.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00021-6.7 Practical challenge.mp4 |
118.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00022-7.1 Intro to For loops.mp4 |
71.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00023-7.2. more on variables.mp4 |
37.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00024-7.3. Lists.mp4 |
77 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00025-7.4. The power of lists and loops working together.mp4 |
130.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00026-7.5. Common list methods.mp4 |
17.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00027-7.6 While loops.mp4 |
51.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00028-7.7. Modulus.mp4 |
31 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00029-7.8 Practical challenge.mp4 |
112.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00030-8.1. Modules.mp4 |
47.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00031-8.2 Dictionaries.mp4 |
83.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00032-8.3. Zip function.mp4 |
13.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00033-8.4 More string methods.mp4 |
25.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00034-8.5. Tuples.mp4 |
13 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00035-8.6 More than 1 dimension.mp4 |
19.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00036-8.7 Import counters 1 of 2.mp4 |
209.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00037-8.8 Import counters 2 of 2.mp4 |
51.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00038-9.0.1_Files and functions.mp4 |
62 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00039-9.0.2 Appending to a file.mp4 |
15.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00040-9.0.3. Functions.mp4 |
79.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00041-9.0.4. Fibonacci in a function.mp4 |
23.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00042-9.0.5 Recursion.mp4 |
26.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00043-9.1.1 Objects.mp4 |
104.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00044-9.1.2 Class.mp4 |
10.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00045-9.1.3 _Init_.mp4 |
6.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00046-9.1.4 Class variables.mp4 |
8.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00047-9.1.5 Methods.mp4 |
15.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00048-9.1.6 Inheritance.mp4 |
18.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00049-9.1.7 Practical exercise 1.mp4 |
49.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00050-9.1.8 Practical exercise 2.mp4 |
5.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00051-9.2_general_tips.mp4 |
498.6 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00052-9.3.1_Big_O.mp4 |
251.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00053-9.3.2 O(n).mp4 |
73.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00054-9.3.3 O(n^2).mp4 |
91.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00055-9.3.4 O(n!).mp4 |
115.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00056-9.3.5 Summary.mp4 |
34.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00057-9.4.1.mp4 |
64.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00058-9.4.2 Caesar cipher.mp4 |
121.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00059-9.4.3 Jupyter notebook intro.mp4 |
17 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00060-9.4.4 Caesar cipher solution.mp4 |
50.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00061-9.4.5 Two sum.mp4 |
49.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00062-9.4.6 Two sum solution.mp4 |
100 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00063-9.4.7 Card class.mp4 |
9.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00064-9.4.8 Playing card class.mp4 |
21 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00065-9.4.9 Playing card class solution.mp4 |
13.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00066-9.5.1 Matplotlib.mp4 |
60.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00067-9.5.2 Random walk explanation.mp4 |
61.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00068-9.5.3 Simulating a random walk.mp4 |
39.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00069-9.5.4 Sierpinski triangle.mp4 |
90.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00070-9.5.5 Creating the triangle in Matplotlib.mp4 |
56.6 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00071-9.5.6 Python imaging library.mp4 |
31.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00072-9.6.1 Intro to stacks.mp4 |
200.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00073-9.6.2 Coding a stack in Python.mp4 |
35.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00074-9.6.3 Practical challenge - stacks.mp4 |
133.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00075-9.6.4 Hint on solving the challenge.mp4 |
45.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00076-9.6.5 Solving the stacks challenge.mp4 |
38.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00077-9.6.6 Towers of Hanoi.mp4 |
86.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00078-9.6.7 Some hints.mp4 |
100.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00079-9.6.8 Code for Tower of Hanoi.mp4 |
19.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00080-9.6.9 Enumerate sets and none.mp4 |
54.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00081-9.7.1.mp4 |
23.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00082-9.7.2 Linear search.mp4 |
74.3 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00083-9.7.3 Binary search.mp4 |
131.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00084-9.7.4 Insertion sort.mp4 |
185.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00085-9.8.1 Intro to cards and coins.mp4 |
81.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00086-9.8.2 Luhn's algorithm.mp4 |
33.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00087-9.8.3 Coins.mp4 |
71.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00088-9.8.4 Coins - Python code.mp4 |
55.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00089-9.9.1 Debugging.mp4 |
67 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00090-9.9.2 Beyond the PRINT function.mp4 |
58.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00091-9.9.3 Debugging in Spyder.mp4 |
30.6 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00092-9.9.4 A little more on strings.mp4 |
31.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00093-9.9.5 Regular expressions.mp4 |
54.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00094-9.9.6 More regular expressions.mp4 |
29.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00095-9.9.7 Type hints.mp4 |
28.2 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00096-10.0 Introduction to the project.mp4 |
105.5 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00097-10.1 Coin photographs.mp4 |
14.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00098-10.2 Introducing OpenCV.mp4 |
20.1 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00099-10.3 Starting to work with Visual Studio.mp4 |
22.4 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00100-10.4 Hough circle transform.mp4 |
33.8 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00101-10.5 Get circle radii.mp4 |
11.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00102-10.6 Get brightness values.mp4 |
14.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00103-10.7 Performing coin classification.mp4 |
17.9 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00104-10.8 Closing remarks.mp4 |
21.7 MB |
| 365datascience_v2/Module-02/04-Python_Programmer_Bootcamp/00105-9.9.8 Farewell.mp4 |
185.1 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00001-GitHub_Intro.mp4 |
198.8 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00002-Installing Git.mp4 |
13.3 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00003-2. Configuring Git.mp4 |
28.6 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00004-3. Basic Commands.mp4 |
18.3 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00005-4. Exploring Git log.mp4 |
22 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00006-5. Git diff.mp4 |
6.5 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00007-6. Head.mp4 |
16.3 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00008-7. Making Corrections - Git resent.mp4 |
30.5 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00009-8. Branching.mp4 |
21.4 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00010-9. GitHub.mp4 |
19.6 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00011-10. Git Clone.mp4 |
12.6 MB |
| 365datascience_v2/Module-02/05-Git_and_Github/00012-11. Conclusion.mp4 |
107.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00001-7. R.mp4 |
18.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00002-R Programming for Statistics and Data Science - Intro 2.0.mp4 |
75 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00003-2.1 R for Statistics and Data Science - Downloading and installing R and RStudio.mp4 |
27.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00004-2.2 R for Statistics and Data Science - Quick guide to the RStudio user interface.mp4 |
42.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00005-2.3 R for Statistics and Data Science - Changing the appearance of RStudio.mp4 |
12.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00006-2.4 R for Statistics and Data Science - Installing packages and using the library.mp4 |
56.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00007-3.1 R for Statistics and Data Science - Creating an object in R.mp4 |
29.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00008-3.2 R for Statistics and Data Science - Data types in R (Integers and doubles).mp4 |
26.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00009-3.3 R for Statistics and Data Science - Data types in R (Characters and logicals).mp4 |
20.6 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00010-3.4 R for Statistics and Data Science - Coercion rules in R.mp4 |
18.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00011-3.5 R for Statistics and Data Science - Functions in R.mp4 |
19.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00012-3.6 R for Statistics and Data Science - Functions and arguments.mp4 |
13.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00013-3.7 R for Statistics and Data Science - Building a function in R.mp4 |
50.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00014-3.8 R for Statistics and Data Science - Using the script vs. using the console.mp4 |
18.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00015-R Programming for Statistics and Data Science - Intro 4.0.mp4 |
88 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00016-4.1 R for Statistics and Data Science - Introduction to vectors.mp4 |
22.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00017-4.2 R for Statistics and Data Science - Vector recycling.mp4 |
9.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00018-4.3 R for Statistics and Data Science - Naming a vector.mp4 |
18.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00019-4.4 R for Statistics and Data Science - Getting help with R.mp4 |
49.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00020-4.5 R for Statistics and Data Science - Slicing and indexing a vector.mp4 |
40.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00021-4.6 R for Statistics and Data Science - Changing the dimensions of an object in R.mp4 |
29.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00022-5.1 R for Statistics and Data Science - Creating a matrix.mp4 |
38 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00023-5.2 R for Statistics and Data Science - Faster code - creating a matrix in a single line of code.mp4 |
18 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00024-5.3 R for Statistics and Data Science - Do matrices recycle.mp4 |
10.6 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00025-5.4 R for Statistics and Data Science - Indexing an element from a matrix.mp4 |
30.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00026-5.5 R for Statistics and Data Science - Slicing a matrix.mp4 |
23.3 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00027-5.6 R for Statistics and Data Science - Matrix arithmetic.mp4 |
47 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00028-5.7 R for Statistics and Data Science - Matrix operations.mp4 |
33.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00029-5.8_edited.mp4 |
23.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00030-5.9 R for Statistics and Data Science - Creating a factor in R.mp4 |
42.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00031-5.10 Lists in R.mp4 |
32.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00032-6.1.1 Relational operators in R.mp4 |
23.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00033-6.1.2 Logical operators in R.mp4 |
15.6 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00034-6.1.3 Logical operators and vectors.mp4 |
11.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00035-6.2.1 If else else-if statements.mp4 |
30.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00036-6.2.2 If else else-if keep-in-minds's.mp4 |
20.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00037-6.3 For loops in R.mp4 |
35.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00038-6.4 While loops in R.mp4 |
24 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00039-6.5 Repeat loops in R.mp4 |
20.3 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00040-6.6.1 Building a function in R 2.0.mp4 |
22.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00041-6.6.2 Building a function in R 2.0 Scoping.mp4 |
31.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00042-6.1 R for Statistics and Data Science - Creating a data frame.mp4 |
37.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00043-6.2 R for Statistics and Data Science - The Tidyverse package.mp4 |
27.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00044-6.3.1 R for Statistics and Data Science - Data import into R.mp4 |
20.6 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00045-6.3.2 R for Statistics and Data Science - Importing a CSV into R.mp4 |
27.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00046-6.3.3 R for Statistics and Data Science - Data export in R.mp4 |
19.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00047-6.4.1 R for Statistics and Data Science - Getting a sense of your data frame.mp4 |
27.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00048-6.4.2 R for Statistics and Data Science - Indexing and slicing a data frame in R.mp4 |
32.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00049-6.5 R for Statistics and Data Science - Extending a data frame in R.mp4 |
33.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00050-6.6 R for Statistics and Data Science - Dealing with missing data.mp4 |
33.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00051-R for Statistics and Data Science - Intro 7.0.mp4 |
105.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00052-7.1 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part I.mp4 |
37.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00053-7.2 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part II.mp4 |
23.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00054-7.3 R for Statistics and Data Science - Sampling data with the Dplyr package.mp4 |
12.3 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00055-7.4 R for Statistics and Data Science - Using the pipe operator.mp4 |
24.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00056-7.5 R for Statistics and Data Science - Tidying your data - gather() and separate().mp4 |
63.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00057-7.6 R for Statistics and Data Science - Tidying your data - unite() and spread().mp4 |
19.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00058-R for Statistics and Data Science - Intro 8.0.mp4 |
72.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00059-8.1 R for Statistics and Data Science - Intro to data visualisation.mp4 |
20.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00060-8.2 R for Statistics and Data Science - Intro to ggplot2.mp4 |
49.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00061-8.3 R for Statistics and Data Science - Variables revisited.mp4 |
28.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00062-8.4 R for Statistics and Programming - Building a histogram with ggplot2.mp4 |
49.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00063-8.5 R for Statistics and Data Science - Building a bar chart with ggplot2.mp4 |
39.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00064-8.6 R for Statistics and Data Science - Building a box and whiskers plot with ggplot2.mp4 |
41.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00065-8.7 R for Statistics and Data Science - Building a scatterplot with ggplot2.mp4 |
65.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00066-9.1 R for Statistics and Data Science - Population vs Sample.mp4 |
21.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00067-9.2 R forStatistics and Data Science - Mean, median, mode.mp4 |
32.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00068-9.3 R for Statistics and Data Science - Skewness.mp4 |
23.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00069-9.4 R for Statistics and Data Science - Variance, standard deviation, and coefficient of variability.mp4 |
33.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00070-9.5 R for Statistics and Data Science - Covariance and correlation.mp4 |
44.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00071-11.1 Distributions.mp4 |
80.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00072-11.2 Standard Error and Confidence Intervals.mp4 |
39.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00073-11.3 Hypothesis Testing.mp4 |
22.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00074-11.4 Type I and Type II errors.mp4 |
25.2 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00075-11.5 Test for the mean. Population variance known.mp4 |
37.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00076-11.6 The P-value.mp4 |
30.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00077-11.7 Test for the mean. Population variance unknown.mp4 |
33.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00078-11.8 Dependent samples_edited.mp4 |
38.3 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00079-11.9 Comparing two means. Independent samples.mp4 |
28.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00080-12.1 The Linear Regression Model.mp4 |
39.9 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00081-12.2 Correlation vs Regression.mp4 |
10.1 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00082-12.3 Geometrical Representation.mp4 |
6.5 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00083-12.4 Doing the Regression in R.mp4 |
24.8 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00084-12.5 How to interpret the regression table.mp4 |
36.4 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00085-12.6 Decomposition of variability.mp4 |
22.7 MB |
| 365datascience_v2/Module-02/06-Introduction_to_R_Programming/00086-R for Statistics and Data Science - R Squared.mp4 |
31.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00001-10. Advanced statistics.mp4 |
35.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00002-1.1. Introduction to Regression Analysis.mp4 |
15.3 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00003-1.2. The linear regression model.mp4 |
49.5 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00004-1.3. Correlation vs regression.mp4 |
12.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00005-1.4. Geometrical representation.mp4 |
5.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00006-1.5. Python packages relevant for this course.mp4 |
13.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00007-1.6. First regression in Python.mp4 |
32.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00008-1.7. Using Seaborn for graphs.mp4 |
10.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00009-1.8. Regression tables.mp4 |
31.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00010-1.9. Decomposition.mp4 |
28.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00011-1.10. OLS.mp4 |
23 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00012-1.11. R-squared.mp4 |
39.3 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00013-1.12. Multiple linear regression.mp4 |
23.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00014-1.13. Adjusted R-squared.mp4 |
37.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00015-1.14. F-test.mp4 |
10.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00016-1.15. OLS assumptions.mp4 |
15.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00017-1.16. Linearity.mp4 |
10.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00018-1.17. No endogeneity.mp4 |
29.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00019-1.18. A3_Normality_homoscedasticity.mp4 |
31.3 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00020-1.19. No autocorrelation.mp4 |
29 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00021-1.20. No multicollinearity.mp4 |
22.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00022-1.21. Dummy variables.mp4 |
42.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00023-1.22. Making predictions.mp4 |
17.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00024-x.1. What is sklearn.mp4 |
57.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00025-x.2.mp4 |
18.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00026-x.3.mp4 |
29.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00027-x.4.mp4 |
25.3 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00028-x.5. Multiple linear regression.mp4 |
15.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00029-x.6.mp4 |
23.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00030-x.7.mp4 |
25.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00031-x.8.mp4 |
9.5 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00032-x.9.mp4 |
34 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00033-x.10.mp4 |
30.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00034-x.11.mp4 |
20 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00035-x.12.mp4 |
18.4 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00036-x.13.mp4 |
35.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00037-x.14.mp4 |
84.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00038-x.15.mp4 |
36.3 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00039-x.16.mp4 |
20.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00040-x.17.mp4 |
43.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00041-x.18.mp4 |
54.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00042-2.1. Introduction to logistic regression.mp4 |
20.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00043-2.2. A simple example in Python.mp4 |
27.5 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00044-2.3. Logistic vs Logit model.mp4 |
56 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00045-2.4. How to build a logistic regression in Python.mp4 |
13.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00046-2.5. An invaluable programming tip.mp4 |
23 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00047-2.6. Understanding the tables.mp4 |
20.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00048-2.7. Interpreting the coefficients.mp4 |
21.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00049-2.8. Binary predictors.mp4 |
24.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00050-2.9. Assessing the accuracy of a model.mp4 |
23.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00051-2.10. The concept of overfitting.mp4 |
24.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00052-2.11. Testing the model.mp4 |
25.4 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00053-3.1. Introduction to Cluster analysis.mp4 |
35.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00054-3.2. Where is cluster analysis applied.mp4 |
66.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00055-3.3. Classification vs clustering.mp4 |
26.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00056-3.4. Math prerequisites.mp4 |
18.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00057-3.5. K-means clustering.mp4 |
29.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00058-3.6. World map clustering.mp4 |
39.7 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00059-3.7. Clustering categorical data.mp4 |
15.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00060-3.8. Selecting the number of clusters.mp4 |
40.9 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00061-3.9. Pros and cons of kmeans.mp4 |
31.8 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00062-3.10. Standardization.mp4 |
36 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00063-3.11. Clustering and regression.mp4 |
10 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00064-3.12. Market segmentation example.mp4 |
31.6 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00065-3.13. Market segmentation example_Part2.mp4 |
47.1 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00066-3.14. How is clustering useful.mp4 |
69.2 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00067-3.15. Types of clustering.mp4 |
34.4 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00068-3.16. The dendrogram.mp4 |
36.5 MB |
| 365datascience_v2/Module-03/01-Advanced-Statistical-Methods-in-Python/00069-3.17. Heatmaps.mp4 |
28.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00001-12. Machine learning.mp4 |
37.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00002-What does the course cover teachable.mp4 |
49.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00003-2.1. Introduction to neural networks.mp4 |
42.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00004-2.2. Training the model.mp4 |
26.8 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00005-2.3. Types of machine learning.mp4 |
40.8 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00006-2.4. The linear model.mp4 |
26 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00007-2.5. The linear model_multiple inputs.mp4 |
23.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00008-2.6. Linear model_ multiple inputs and multiple outputs.mp4 |
42.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00009-2.7. Graphical representation.mp4 |
22 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00010-2.8. The objective function.mp4 |
17.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00011-2.9. L2-norm loss.mp4 |
21.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00012-2.10. Cross-entropy loss.mp4 |
33.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00013-2.11. One-parameter gradient descent.mp4 |
56.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00014-2.12. N-parameter gradient descent.mp4 |
50 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00015-3.1. Setting up the environment - Do not skip, please!.mp4 |
7.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00016-3.2. Why Python and why Jupyter.mp4 |
34.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00017-3.3. Installing Anaconda.mp4 |
37.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00018-3.4 Jupyter Dashboard - Part 1.mp4 |
10.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00019-3.5 Jupyter Dashboard - Part 2.mp4 |
21 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00020-3.6. Installing the TensorFlow package.mp4 |
14.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00021-4.1. Outline.mp4 |
13.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00022-4.2. Generating the data (optional).mp4 |
23.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00023-4.3. Initializing the variables.mp4 |
20.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00024-4.4. Training the model.mp4 |
46.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00025-5.1. TensorFlow outline.mp4 |
44.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00026-5.2. TensorFlow Intro.mp4 |
19.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00027-5.3. Types of file formats used in TensorFlow.mp4 |
12.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00028-5.4. Laying down the model.mp4 |
27.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00029-5.5. Laying down the optimizers.mp4 |
21.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00030-5.6. Output.mp4 |
30.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00031-6.1. The layer.mp4 |
16.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00032-6.2. What is a deep net.mp4 |
32.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00033-6.3. Really understand deep nets.mp4 |
58.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00034-6.4. Why we need non-linearities.mp4 |
38 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00035-6.5. Activation functions.mp4 |
29.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00036-6.6. Softmax activation.mp4 |
25 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00037-6.7. Backpropagation.mp4 |
52.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00038-6.8. Backpropagation - intuition.mp4 |
24.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00039-8.1. Underfitting and overfitting.mp4 |
34.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00040-8.2. Underfitting and overfitting_classification.mp4 |
32.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00041-8.3. Train vs validation.mp4 |
37.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00042-8.4. Train vs validation vs test.mp4 |
31.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00043-8.5. N-fold cross validation.mp4 |
25.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00044-8.6. Early stopping - motivation and types.mp4 |
28.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00045-9.1. Initializaiton.mp4 |
26.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00046-9.2. Types of simple initializations.mp4 |
12.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00047-9.3. Xavier initialization.mp4 |
19.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00048-10.1. SGD&Batching.mp4 |
34.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00049-10.2. Local minima pitfalls.mp4 |
14.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00050-10.3. Momentum.mp4 |
19 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00051-10.4. Learning rate schedules.mp4 |
37.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00052-10.5. Learning rate schedules. A picture.mp4 |
10.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00053-10.6. Adaptive learning rate schedules.mp4 |
29.8 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00054-10.7. Adaptive moment estimation.mp4 |
29.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00055-11.1. Preprocessing.mp4 |
25.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00056-11.2. Basic preprocessing.mp4 |
11.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00057-11.3. Standardization.mp4 |
40.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00058-11.4. Dealing with categorical data.mp4 |
18.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00059-11.5. One hot vs binary.mp4 |
32.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00060-12.1.mp4 |
8.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00061-12.2. How to tackle the MNIST.mp4 |
30.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00062-12.3. MNIST - Importing libraries and data.mp4 |
12.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00063-12.4. MNIST_Outlining the model.mp4 |
45 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00064-12.5. MNIST - Declaring the loss.mp4 |
18.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00065-12.6. Accuracy of prediction.mp4 |
40.2 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00066-12.7. Early stopping and batching preparation.mp4 |
9.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00067-12.8. Optimization.mp4 |
34 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00068-12.9. Commenting on the results.mp4 |
52.8 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00069-13.1. The dataset.mp4 |
52.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00070-13.2. Outlining the solution.mp4 |
12.1 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00071-13.3. Balancing a dataset.mp4 |
44.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00072-13.4. Preprocessing the data.mp4 |
78.7 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00073-13.5. Creating the batching class.mp4 |
56.6 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00074-13.6. Outlining the model.mp4 |
46.3 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00075-13.7. Optimizing the algorithm.mp4 |
27.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00076-13.8. Running the code.mp4 |
19.9 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00077-13.9. Test.mp4 |
8.8 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00078-13.10. Homework.mp4 |
57.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00079-14.1. Summary.mp4 |
48.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00080-14.2. Whats more out there.mp4 |
17.5 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00081-14.3. An overview of CNNs.mp4 |
72 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00082-14.4. An overview of RNNs.mp4 |
27.4 MB |
| 365datascience_v2/Module-03/02-Deep_Learning_with_TensorFlow/00083-14.5. Non-NN approaches.mp4 |
41.9 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00001-3.1.mp4 |
6.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00002-3.2.mp4 |
34.7 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00003-3.3.mp4 |
31.3 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00004-3.4.mp4 |
9.2 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00005-3.5.mp4 |
20.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00006-3.6_new_edited.mp4 |
15.7 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00007-5.1.mp4 |
41.2 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00008-5.2.mp4 |
37.8 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00009-5.3.mp4 |
8.1 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00010-5.4.mp4 |
13.3 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00011-5.5.mp4 |
32.9 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00012-5.6.mp4 |
31.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00013-5.7.mp4 |
21.6 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00014-12.1.mp4 |
8.5 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00015-12.2.mp4 |
33.3 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00016-12.3.mp4 |
15.8 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00017-12.4.mp4 |
27.1 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00018-12.5.mp4 |
36.6 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00019-12.6.mp4 |
27.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00020-12.7.mp4 |
12.7 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00021-12.8.mp4 |
40.9 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00022-12.9.mp4 |
26.9 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00023-13.1.mp4 |
52.1 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00024-13.2.mp4 |
9.5 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00025-13.3.mp4 |
44.6 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00026-13.4.mp4 |
77.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00027-13.5.mp4 |
18.2 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00028-13.6.mp4 |
26.4 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00029-13.7.mp4 |
42.6 MB |
| 365datascience_v2/Module-03/03-Deep_Learning_with_TensorFlow_2.0/00030-13.8.mp4 |
9.6 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00001-1.1 Integration Level 1.mp4 |
30.3 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00002-1.2 Integration Level 1.mp4 |
56.2 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00003-1.3 Integration Level 1.mp4 |
55.8 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00004-1.4 Integration Level 1.mp4 |
29.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00005-1.5 Integration Level 1.mp4 |
35.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00006-2.1 Integration Level 1.mp4 |
25.8 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00007-2.2 Integration Level 1.mp4 |
25.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00008-2.3 Integration Level 1.mp4 |
25.8 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00009-3.2 Integration Level 1.mp4 |
13 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00010-3.3 Integration Level 1.mp4 |
39.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00011-3.4 Integration Level 1.mp4 |
20.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00012-3.5 Integration Level 1.mp4 |
10.9 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00013-3.6 Integration Level 1.mp4 |
34.3 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00014-3.7 Integration Level 1.mp4 |
20.3 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00015-3.8 Integration Level 1.mp4 |
46.7 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00016-3.9 Integration Level 1.mp4 |
5.8 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00017-3.10 Integration Level 1.mp4 |
38.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00018-3.11 Integration Level 1.mp4 |
18.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00019-3.12 Integration Level 1.mp4 |
6.9 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00020-3.13 Integration Level 1.mp4 |
13 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00021-3.14 Integration Level 1.mp4 |
26.6 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00022-3.15 Integration Level 1.mp4 |
24.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00023-3.16 Integration Level 1.mp4 |
15.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00024-3.17 Integration Level 1.mp4 |
14.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00025-3.18 Integration Level 1.mp4 |
18.8 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00026-3.19 Integration Level 1.mp4 |
22 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00027-4.1 Integration Level 1.mp4 |
25.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00028-4.2 Integration Level 1.mp4 |
34.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00029-4.3 Integration Level 1.mp4 |
12.3 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00030-4.4 Integration Level 1.mp4 |
15.6 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00031-4.5 Integration Level 1.mp4 |
39.9 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00032-4.6 Integration Level 1.mp4 |
32.7 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00033-4.7 Integration Level 1.mp4 |
33.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00034-4.8 Integration Level 1.mp4 |
46.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00035-4.9 Integration Level 1.mp4 |
33.9 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00036-4.10 Integration Level 1.mp4 |
28.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00037-4.11 Integration Level 1.mp4 |
37.9 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00038-4.12 Integration Level 1.mp4 |
41.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00039-4.13 Integration Level 1.mp4 |
30.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00040-4.15 Integration Level 1.mp4 |
49.6 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00041-5.1 Integration Level 1.mp4 |
15.6 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00042-5.2 Integration Level 1.mp4 |
28.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00043-5.3 Integration Level 1.mp4 |
30.3 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00044-5.4 Integration Level 1.mp4 |
11.2 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00045-5.5 Integration Level 1.mp4 |
10.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00046-5.6 Integration Level 1.mp4 |
27.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00047-5.7 Integration Level 1.mp4 |
12.5 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00048-5.8 Integration Level 1.mp4 |
45.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00049-5.9 Integration Level 1.mp4 |
32.1 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00050-5.10 Integration Level 1.mp4 |
22.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00051-6.1 Integration Level 1.mp4 |
26.4 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00052-6.2 Integration Level 1.mp4 |
30.2 MB |
| 365datascience_v2/Module-03/04-SQL_+_Tableau_+_Python/00053-6.3 Integration Level 1.mp4 |
17.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00001-1.1. What is credit risk. Why is credit risk important.mp4 |
55.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00002-1.2. Expected loss (EL) and its components.mp4 |
46 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00003-1.3.mp4 |
15.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00004-1.4.mp4 |
29.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00005-1.5.mp4 |
32.2 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00006-2.1.mp4 |
1.9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00007-2.2.mp4 |
9.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00008-2.3.mp4 |
7.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00009-2.4.mp4 |
4.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00010-2.5.mp4 |
8.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00011-2.6.mp4 |
3.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00012-3.1.mp4 |
14 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00013-3.2.mp4 |
19.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00014-4.1.mp4 |
16.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00015-4.2.mp4 |
29.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00016-4.4.mp4 |
18.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00017-4.5.mp4 |
9.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00018-5.1.mp4 |
12 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00019-5.2.mp4 |
12.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00020-5.3.mp4 |
15.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00021-5.4.mp4 |
12.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00022-5.5.mp4 |
20.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00023-5.6.mp4 |
17.5 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00024-5.7.mp4 |
16.2 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00025-5.8.mp4 |
22.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00026-5.9.mp4 |
17.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00027-5.10.mp4 |
34.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00028-5.12.mp4 |
19.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00029-5.13.mp4 |
14.5 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00030-5.14.mp4 |
38 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00031-5.16.mp4 |
36.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00032-5.18.mp4 |
11.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00033-6.1.mp4 |
20.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00034-6.2.mp4 |
15.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00035-6.3.mp4 |
9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00036-6.4.mp4 |
41.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00037-6.5.mp4 |
11.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00038-7.1.mp4 |
20.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00039-7.2.mp4 |
25.1 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00040-7.3.mp4 |
23.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00041-8.1.mp4 |
13.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00042-8.2.mp4 |
40.2 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00043-8.3.mp4 |
14.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00044-8.4.mp4 |
7.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00045-8.5.mp4 |
29.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00046-9.1.mp4 |
10.6 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00047-9.2_new.mp4 |
52.5 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00048-9.3.mp4 |
32.9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00049-10.1.mp4 |
18 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00050-10.2.mp4 |
13.9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00051-10.3.mp4 |
14 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00052-11.1.mp4 |
8.8 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00053-11.2.mp4 |
16.9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00054-11.3.mp4 |
12.3 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00055-11.4.mp4 |
7.9 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00056-11.5.mp4 |
14.7 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00057-11.6.mp4 |
9.6 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00058-11.7.mp4 |
9.2 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00059-12.1.mp4 |
17.6 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00060-12.2.mp4 |
10.4 MB |
| 365datascience_v2/Module-04/01-Credit_Risk_Modeling_in_Python/00061-13.1.mp4 |
45.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00001-1.1 for teachable (26.09).mp4 |
18.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00002-2.1.mp4 |
2.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00003-2.2.mp4 |
9.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00004-2.3.mp4 |
8.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00005-2.4.mp4 |
4.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00006-2.5.mp4 |
8.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00007-2.6.mp4 |
3.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00008-3.1 Introduction to Time Series Data (02.08).mp4 |
18.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00009-3.2 Notation for Time Series Data (02.08).mp4 |
4.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00010-3.3 Peculiarities (02.08).mp4 |
9.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00011-3.4 Loading the Data (24.09).mp4 |
5.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00012-3.5 Examining the Data (26.07).mp4 |
13.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00013-3.6 Plotting the Data (26.07).mp4 |
8.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00014-3.7 The QQ Plot (24.09).mp4 |
6.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00015-4.1 Transforming String inputs into DateTime Values (29.07).mp4 |
10.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00016-4.2 Using Dates as Indices (29.07).mp4 |
6.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00017-4.3 Setting the Frequency (10.10).mp4 |
6.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00018-4.4 Filling Missing Values (21.10).mp4 |
11.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00019-4.5 Adding and Removing Columns in a Data Frame (31.07).mp4 |
6.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00020-4.6 Splitting the Data (10.10).mp4 |
9.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00021-5.1 White Noise (02.08).mp4 |
19 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00022-5.2 Random Walk (07.08).mp4 |
13.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00023-5.3 Stationarity (02.08).mp4 |
7.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00024-5.4 Determining Weak Form Stationarity (09.08).mp4 |
15.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00025-5.5 Seasonality (20.08).mp4 |
14.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00026-5.6 Correlation Between Past and Present Values (02.08).mp4 |
4.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00027-5.7 The ACF (21.08).mp4 |
14.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00028-5.8 The PACF (21.08).mp4 |
12 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00029-6.1 Picking the Correct Model (02.08).mp4 |
8.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00030-7.1 The AR Model (02.08).mp4 |
17.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00031-7.2 Examining the ACF and PACF of Prices (26.08).mp4 |
14.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00032-7.3 Fitting an AR(1) Model for Index Prices (27.08).mp4 |
13.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00033-7.4 Fitting Higher Lag AR Models for Prices (02.09).mp4 |
26.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00034-7.5 Using Returns (24.09).mp4 |
15 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00035-7.6 Examining the ACF and PACF of Returns (03.09).mp4 |
7.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00036-7.7 Fitting an AR(1) Model for Index Returns (03.09).mp4 |
6.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00037-7.8 Fitting Higher Lag AR Models for Returns (04.09).mp4 |
13.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00038-7.9 Normalizing Values (24.09).mp4 |
17.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00039-7.10 Model Selection for Normalized Returns (04.09).mp4 |
8.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00040-7.11 Examining the AR Model Residuals (05.09).mp4 |
14.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00041-7.12 Unexpected Shocks from Past Periods (19.09).mp4 |
9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00042-8.1 The MA Model (05.09).mp4 |
11.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00043-8.2 Fitting an MA(1) Model for Returns (05.09).mp4 |
10.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00044-8.3 Fitting Higher-Lag MA Models for Returns (05.09).mp4 |
25 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00045-8.4 Examining the MA Model Residuals for Returns (06.09).mp4 |
15.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00046-8.5 Model Selection for Normalized Returns (07.09).mp4 |
8.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00047-8.6 Fitting an MA(1) Model for Prices (07.09).mp4 |
13.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00048-8.7 Past Values and Past Errors (19.09).mp4 |
9.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00049-9.1 The ARMA Model (18.09).mp4 |
11.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00050-9.2 Fitting a Simple ARMA Model for Returns (08.09).mp4 |
12.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00051-9.3.0 Fitting a Higher-Lag ARMA Model for Returns - part 1 (08.09).mp4 |
22 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00052-9.3.1 Fitting a Higher-Lag ARMA Model for Returns - part 2 (08.09).mp4 |
17.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00053-9.3.2 Fitting a Higher-Lag ARMA Model for Returns - part 3 (08.09).mp4 |
19.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00054-9.4 Examinig the ARMA Model Residuals of Returns (08.09).mp4 |
22.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00055-9.5 ARMA for Prices (08.09).mp4 |
21.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00056-9.6 ARMA Models and Non-stationary Data (19.09).mp4 |
6.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00057-10.1 The ARIMA Model (19.09).mp4 |
18.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00058-10.2 Fitting a Simple ARIMA Model for Prices (24.09).mp4 |
18 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00059-10.3.1 Fitting a Higher Lag ARIMA Model for Prices - part 1 (11.09).mp4 |
15.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00060-10.3.2 Fitting a Higher Lag ARIMA Model for Prices - part 2 (11.09).mp4 |
17.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00061-10.4 Higher Levels of Integration (11.09).mp4 |
10.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00062-10.5 Using ARIMA Models for Returns (19.09).mp4 |
12.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00063-10.6 Outside Factors and the ARIMAX Model (11.09).mp4 |
10.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00064-10.7 (SARIMAX) (22.12).mp4 |
17 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00065-10.7 Predicting Stability (19.09).mp4 |
7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00066-11.1 The ARCH Model (19.09).mp4 |
16.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00067-11.2 Volatility (19.09).mp4 |
10.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00068-11.3 A More Detailed Look of the ARCH Model (18.09).mp4 |
16.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00069-11.4 The arch_model Method(16.09).mp4 |
23.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00070-11.5 The Simple ARCH Model (16.09).mp4 |
22 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00071-11.6 Higher Lag ARCH Models (16.09).mp4 |
13.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00072-11.7 An ARMA Equivalent of the ARCH Model (19.09).mp4 |
5.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00073-12.1 The GARCH Model (19.09).mp4 |
9.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00074-12.2 The ARMA and the GARCH (19.09).mp4 |
7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00075-12.3 The Simple GARCH Model (20.09).mp4 |
12.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00076-12.4 Higher-Lag GARCH Models (19.09).mp4 |
15.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00077-12.6 (18.12).mp4 |
7.1 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00078-13.1 (18.12).mp4 |
15.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00079-13.2 (04.12).mp4 |
5.4 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00080-13.3 (04.12).mp4 |
15 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00081-13.4 (10.12).mp4 |
30.3 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00082-13.5 (11.12).mp4 |
13.9 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00083-12.5 The Goal Behind Modeling (19.09).mp4 |
5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00084-14.1 (11.12).mp4 |
21.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00085-14.2 (11.12).mp4 |
14.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00086-14.3 (19.12).mp4 |
16.7 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00087-14.4 (19.12).mp4 |
10.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00088-14.5(21.12).mp4 |
12.5 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00089-14.6 (21.12).mp4 |
19.8 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00090-14.7 (21.12).mp4 |
14.6 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00091-14.8 (22.12).mp4 |
24.2 MB |
| 365datascience_v2/Module-04/02-Time_Series_Analysis_in_Python/00092-15.1 (22.12).mp4 |
77.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00001-1.1.mp4 |
27.7 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00002-1.2.mp4 |
28.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00003-1.3.mp4 |
23.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00004-1.4.mp4 |
32.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00005-3.1.mp4 |
11.8 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00006-3.2.mp4 |
30 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00007-3.3.mp4 |
9.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00008-4.1.mp4 |
8.8 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00009-4.2.mp4 |
16.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00010-5.1.mp4 |
7.3 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00011-5.2..mp4 |
10.9 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00012-5.3.mp4 |
20.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00013-6.1.mp4 |
4.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00014-6.2.mp4 |
10.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00015-6.3.mp4 |
9.9 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00016-6.4.mp4 |
7 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00017-6.5.mp4 |
25.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00018-6.6.mp4 |
8.8 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00019-7.1.mp4 |
3.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00020-7.2.mp4 |
20.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00021-7.3.mp4 |
4.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00022-7.4.mp4 |
9.3 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00023-8.1.mp4 |
13.9 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00024-8.2.mp4 |
9.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00025-8.3.mp4 |
11.8 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00026-8.4.mp4 |
15.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00027-9.1.mp4 |
6.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00028-9.2.mp4 |
3 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00029-9.3.mp4 |
9.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00030-9.4.mp4 |
14.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00031-9.5.mp4 |
12.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00032-9.6.mp4 |
18 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00033-9.8.mp4 |
6 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00034-9.9..mp4 |
5.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00035-9.11-11-21-19.mp4 |
7.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00036-10.1.mp4 |
7 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00037-10.2.mp4 |
5.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00038-10.3.mp4 |
6.7 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00039-10.4.mp4 |
11.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00040-10.5.mp4 |
14.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00041-10.6.mp4 |
16.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00042-10.7.mp4 |
16.2 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00043-11.1.mp4 |
7.9 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00044-11.2.mp4 |
29.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00045-11.3.mp4 |
10.7 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00046-11.4.mp4 |
6.6 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00047-12.1.mp4 |
11 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00048-12.2.mp4 |
22.6 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00049-12.3.mp4 |
3 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00050-12.4. Balancing the dataset.mp4 |
44.6 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00051-12.5.mp4 |
30.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00052-12.6.mp4 |
8.5 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00053-12.7.mp4 |
27 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00054-12.8.mp4 |
15.6 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00055-12.9.mp4 |
17.1 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00056-12.10.mp4 |
4.4 MB |
| 365datascience_v2/Module-04/03-Customer_Analytics_in_Python/00057-12.11.mp4 |
18.5 MB |
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