| coursera - computing for data analysis (2013)/video/037_5 - 3 - Dates and Times (1029).mp4 |
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| coursera - computing for data analysis (2013)/video/039_5 - 5 - Regular Expressions in R (3008).mp4 |
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| coursera - computing for data analysis (2013)/video/010_2 - 4 - Data Types (3106).mp4 |
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| coursera - computing for data analysis (2013)/video/040_5 - 6 - Classes and Methods in R (3451).mp4 |
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| coursera - computing for data analysis (2013)/video/036_5 - 2 - Regular Expressions (2721).mp4 |
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| coursera - computing for data analysis (2013)/video/033_4 - 5 - Lattice Graphics Plotting Demo (2123).mp4 |
22.6 MB |
| coursera - computing for data analysis (2013)/video/030_4 - 2 - Plotting with Base Graphics (2322).mp4 |
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| coursera - computing for data analysis (2013)/video/035_5 - 1 - Plotting and Color in R (2206).mp4 |
17.9 MB |
| coursera - computing for data analysis (2013)/video/020_3 - 3 - Scoping Rules (1903).mp4 |
17.5 MB |
| coursera - computing for data analysis (2013)/video/031_4 - 3 - Base Graphics Plotting Demo (1656).mp4 |
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| coursera - computing for data analysis (2013)/video/009_2 - 3 - Background and Overview (1638).mp4 |
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| coursera - computing for data analysis (2013)/video/019_3 - 2 - Functions (16.32).mp4 |
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| coursera - computing for data analysis (2013)/video/011_2 - 5 - Subsetting (1720).mp4 |
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| coursera - computing for data analysis (2013)/video/029_4 - 1 - Simulation (1451).mp4 |
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| coursera - computing for data analysis (2013)/video/018_3 - 1 - Control Structures (1523).mp4 |
12.2 MB |
| coursera - computing for data analysis (2013)/video/027_3 - 10 - Debugging Tools Part 2 (1007).mp4 |
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| coursera - computing for data analysis (2013)/video/008_2 - 2 - How to Get Help (1353).mp4 |
12 MB |
| coursera - computing for data analysis (2013)/video/013_2 - 7 - Reading-Writing Data Part 1 (1255).mp4 |
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| coursera - computing for data analysis (2013)/video/024_3 - 7 - tapply and split (1222).mp4 |
10.3 MB |
| coursera - computing for data analysis (2013)/video/026_3 - 9 - Debugging Tools Part 1 (850).mp4 |
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| coursera - computing for data analysis (2013)/video/005_1 - 5 - Building R from the Source Code [OPTIONAL] (646).mp4 |
9.4 MB |
| coursera - computing for data analysis (2013)/video/028_3 - 11 - Debugging Tools Part 3 (823).mp4 |
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| coursera - computing for data analysis (2013)/video/038_5 - 4 - Introduction to Baltimore City Homicide Data (420).mp4 |
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| coursera - computing for data analysis (2013)/video/007_2 - 1 - Welcome (259).mp4 |
8.2 MB |
| coursera - computing for data analysis (2013)/video/014_2 - 8 - Reading-Writing Data Part 2 (925).mp4 |
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| coursera - computing for data analysis (2013)/video/021_3 - 4 - Optimization Application (921).mp4 |
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| coursera - computing for data analysis (2013)/video/016_2 - 10 - Setting Your Working Directory and Editing R Code (Mac) [742].mp4 |
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| coursera - computing for data analysis (2013)/video/022_3 - 5 - lapply (923).mp4 |
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| coursera - computing for data analysis (2013)/video/006_1 - 6 - Tour of the R Source Code [OPTIONAL] (608).mp4 |
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| coursera - computing for data analysis (2013)/video/023_3 - 6 - apply (716).mp4 |
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| coursera - computing for data analysis (2013)/video/032_4 - 4 - Plotting with Lattice Graphics (718).mp4 |
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| coursera - computing for data analysis (2013)/video/017_2 - 11 - The str function (605).mp4 |
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| coursera - computing for data analysis (2013)/video/015_2 - 9 - Setting Your Working Directory and Editing R Code (Windows) [720].mp4 |
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| coursera - computing for data analysis (2013)/video/034_4 - 6 - Plotting with Mathematical Annotation (603).mp4 |
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| coursera - computing for data analysis (2013)/video/004_1 - 4 - Installing R on Windows with Custom Options [OPTIONAL] (239).mp4 |
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| coursera - computing for data analysis (2013)/video/001_1 - 1 - Installing RStudio (on Mac) (337).mp4 |
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| coursera - computing for data analysis (2013)/video/025_3 - 8 - mapply (441).mp4 |
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| coursera - computing for data analysis (2013)/video/012_2 - 6 - Vectorized Operations (346).mp4 |
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| coursera - computing for data analysis (2013)/video/002_1 - 2 - Installing R on the Mac (201).mp4 |
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| coursera - computing for data analysis (2013)/video/003_1 - 3 - Installing R on Windows (127).mp4 |
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| coursera - computing for data analysis (2013)/slides/024_RColors.pdf |
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| coursera - computing for data analysis (2013)/slides/020_tufte.pdf |
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| coursera - computing for data analysis (2013)/slides/010_scopingrules.pdf |
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| coursera - computing for data analysis (2013)/slides/021_PlottingBase.pdf |
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| coursera - computing for data analysis (2013)/slides/011_optimization.pdf |
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| coursera - computing for data analysis (2013)/slides/028_classes-methods.pdf |
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| coursera - computing for data analysis (2013)/slides/001_help.pdf |
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| coursera - computing for data analysis (2013)/slides/009_functions.pdf |
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| coursera - computing for data analysis (2013)/slides/006_reading-data1.pdf |
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| coursera - computing for data analysis (2013)/slides/012_lapply.pdf |
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| coursera - computing for data analysis (2013)/slides/022_PlottingLattice.pdf |
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| coursera - computing for data analysis (2013)/slides/019_simulation.pdf |
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| coursera - computing for data analysis (2013)/slides/025_regex.pdf |
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| coursera - computing for data analysis (2013)/slides/013_apply.pdf |
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| coursera - computing for data analysis (2013)/slides/018_debugging3.pdf |
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| coursera - computing for data analysis (2013)/slides/003_lecture2a.pdf |
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| coursera - computing for data analysis (2013)/slides/015_mapply.pdf |
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| coursera - computing for data analysis (2013)/slides/004_lecture2b.pdf |
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| coursera - computing for data analysis (2013)/slides/027_grep.pdf |
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| coursera - computing for data analysis (2013)/slides/023_PlottingMath.pdf |
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| coursera - computing for data analysis (2013)/slides/017_debugging2.pdf |
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| coursera - computing for data analysis (2013)/slides/008_lecture3.pdf |
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| coursera - computing for data analysis (2013)/slides/026_Dates.pdf |
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| coursera - computing for data analysis (2013)/slides/005_lecture2c.pdf |
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| coursera - computing for data analysis (2013)/subtitles/040_5 - 6 - Classes and Methods in R (34_51).srt |
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| coursera - computing for data analysis (2013)/subtitles/010_2 - 4 - Data Types (31_06).srt |
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| coursera - computing for data analysis (2013)/subtitles/039_5 - 5 - Regular Expressions in R (30_08).srt |
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| coursera - computing for data analysis (2013)/subtitles/036_5 - 2 - Regular Expressions (27_21).srt |
42 KB |
| coursera - computing for data analysis (2013)/subtitles/030_4 - 2 - Plotting with Base Graphics (23_22).srt |
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| coursera - computing for data analysis (2013)/subtitles/035_5 - 1 - Plotting and Color in R (22_06).srt |
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| coursera - computing for data analysis (2013)/subtitles/033_4 - 5 - Lattice Graphics Plotting Demo (21_23).srt |
31 KB |
| coursera - computing for data analysis (2013)/subtitles/020_3 - 3 - Scoping Rules (19_03).srt |
30 KB |
| coursera - computing for data analysis (2013)/subtitles/011_2 - 5 - Subsetting (17_20).srt |
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| coursera - computing for data analysis (2013)/subtitles/019_3 - 2 - Functions (16.32).srt |
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| coursera - computing for data analysis (2013)/subtitles/009_2 - 3 - Background and Overview (16_38).srt |
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| coursera - computing for data analysis (2013)/subtitles/018_3 - 1 - Control Structures (15_23).srt |
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| coursera - computing for data analysis (2013)/subtitles/029_4 - 1 - Simulation (14_51).srt |
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| coursera - computing for data analysis (2013)/subtitles/008_2 - 2 - How to Get Help (13_53).srt |
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| coursera - computing for data analysis (2013)/subtitles/031_4 - 3 - Base Graphics Plotting Demo (16_56).srt |
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| coursera - computing for data analysis (2013)/subtitles/013_2 - 7 - Reading-Writing Data_ Part 1 (12_55).srt |
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| coursera - computing for data analysis (2013)/subtitles/024_3 - 7 - tapply and split (12_22).srt |
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| coursera - computing for data analysis (2013)/subtitles/027_3 - 10 - Debugging Tools_ Part 2 (10_07).srt |
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| coursera - computing for data analysis (2013)/subtitles/022_3 - 5 - lapply (9_23).srt |
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| coursera - computing for data analysis (2013)/subtitles/021_3 - 4 - Optimization Application (9_21).srt |
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| coursera - computing for data analysis (2013)/subtitles/014_2 - 8 - Reading-Writing Data_ Part 2 (9_25).srt |
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| coursera - computing for data analysis (2013)/subtitles/037_5 - 3 - Dates and Times (10_29).srt |
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| coursera - computing for data analysis (2013)/subtitles/028_3 - 11 - Debugging Tools_ Part 3 (8_23).srt |
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| coursera - computing for data analysis (2013)/subtitles/026_3 - 9 - Debugging Tools_ Part 1 (8_50).srt |
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| coursera - computing for data analysis (2013)/subtitles/023_3 - 6 - apply (7_16).srt |
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| coursera - computing for data analysis (2013)/subtitles/016_2 - 10 - Setting Your Working Directory and Editing R Code (Mac) [7_42].srt |
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| coursera - computing for data analysis (2013)/subtitles/032_4 - 4 - Plotting with Lattice Graphics (7_18).srt |
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| coursera - computing for data analysis (2013)/subtitles/015_2 - 9 - Setting Your Working Directory and Editing R Code (Windows) [7_20].srt |
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| coursera - computing for data analysis (2013)/subtitles/017_2 - 11 - The str function (6_05).srt |
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| coursera - computing for data analysis (2013)/subtitles/005_1 - 5 - Building R from the Source Code [OPTIONAL] (6_46).srt |
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| coursera - computing for data analysis (2013)/subtitles/034_4 - 6 - Plotting with Mathematical Annotation (6_03).srt |
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| coursera - computing for data analysis (2013)/subtitles/006_1 - 6 - Tour of the R Source Code [OPTIONAL] (6_08).srt |
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| coursera - computing for data analysis (2013)/subtitles/025_3 - 8 - mapply (4_41).srt |
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| coursera - computing for data analysis (2013)/subtitles/038_5 - 4 - Introduction to Baltimore City Homicide Data (4_20).srt |
6 KB |
| coursera - computing for data analysis (2013)/subtitles/012_2 - 6 - Vectorized Operations (3_46).srt |
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| coursera - computing for data analysis (2013)/subtitles/007_2 - 1 - Welcome (2_59).srt |
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| coursera - computing for data analysis (2013)/subtitles/001_1 - 1 - Installing RStudio (on Mac) (3_37).srt |
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| coursera - computing for data analysis (2013)/subtitles/004_1 - 4 - Installing R on Windows with Custom Options [OPTIONAL] (2_39).srt |
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| coursera - computing for data analysis (2013)/subtitles/002_1 - 2 - Installing R on the Mac (2_01).srt |
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| coursera - computing for data analysis (2013)/subtitles/003_1 - 3 - Installing R on Windows (1_27).srt |
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