| Linkedin - Python for Marketing/01 - Introduction/01 - Accelerate your marketing with Python.mp4 |
3.8 MB |
| Linkedin - Python for Marketing/01 - Introduction/01 - Accelerate your marketing with Python.srt |
2 KB |
| Linkedin - Python for Marketing/02 - The Role of Python in Marketing/01 - Prerequisites.mp4 |
1022 KB |
| Linkedin - Python for Marketing/02 - The Role of Python in Marketing/02 - Why Python is great for marketers.mp4 |
3.5 MB |
| Linkedin - Python for Marketing/02 - The Role of Python in Marketing/02 - Why Python is great for marketers.srt |
2 KB |
| Linkedin - Python for Marketing/02 - The Role of Python in Marketing/03 - Why Python is valuable for marketers.mp4 |
2.1 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/01 - Introduction to pandas.mp4 |
3.1 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/02 - Installing Jupyter.mp4 |
4 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.mp4 |
15.8 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.srt |
7 KB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/04 - Importing Google Search Console data.mp4 |
2.9 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.mp4 |
8.4 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.srt |
4 KB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.mp4 |
6.3 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.srt |
3 KB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/07 - Visualizing Google data.mp4 |
7.2 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/07 - Visualizing Google data.srt |
4 KB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.mp4 |
9.5 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.srt |
5 KB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.mp4 |
4.3 MB |
| Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.srt |
2 KB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/01 - Introduction to data wrangling.mp4 |
2.2 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.mp4 |
11.6 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.srt |
6 KB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.mp4 |
7.7 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.srt |
3 KB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.mp4 |
9.3 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.srt |
5 KB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/05 - Rebuilding Google Analytics data.mp4 |
9.9 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/06 - Dropping columns.mp4 |
6.3 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.mp4 |
3.5 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.srt |
2 KB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/08 - Merging Google Analytics and Search Console.mp4 |
4.8 MB |
| Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/09 - Saving your data to a CSV.mp4 |
2.1 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.mp4 |
1.9 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.srt |
1 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.mp4 |
13.1 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.srt |
7 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/03 - Creating Matplotlib subplots.mp4 |
7.2 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.mp4 |
7.1 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.srt |
4 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.mp4 |
8 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.srt |
4 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/06 - Rotating xticks labels on plot.mp4 |
6.5 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/07 - Adding a legend to a plot.mp4 |
4 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/08 - Adding a title to your plot.mp4 |
4.1 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.mp4 |
9.3 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.srt |
5 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.mp4 |
4.2 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.srt |
2 KB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/11 - Using a scatter plot in Seaborn.mp4 |
3 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/12 - Customizing a scatter plot in Seaborn.mp4 |
7.1 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.mp4 |
9.7 MB |
| Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.srt |
5 KB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/01 - Time series notebook.mp4 |
1.3 MB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/01 - Time series notebook.srt |
846 B |
| Linkedin - Python for Marketing/06 - Working with Timeseries/02 - Fixing missing values.mp4 |
9.6 MB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/03 - Resampling time series data.mp4 |
4.9 MB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/03 - Resampling time series data.srt |
3 KB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/04 - Rolling average plots.mp4 |
8.9 MB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/04 - Rolling average plots.srt |
4 KB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/05 - Plotting weekly PPC and CPC data.mp4 |
5.4 MB |
| Linkedin - Python for Marketing/06 - Working with Timeseries/06 - Adding dynamic annotations to a plot.mp4 |
8.8 MB |
| Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.mp4 |
1.5 MB |
| Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.srt |
1 KB |
| Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/02 - Calculating metrics.mp4 |
13.4 MB |
| Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.mp4 |
11.5 MB |
| Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.srt |
5 KB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/01 - Intro to alert calculations.mp4 |
599 KB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/01 - Intro to alert calculations.srt |
488 B |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/02 - Creating simple alerts.mp4 |
4.8 MB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/02 - Creating simple alerts.srt |
2 KB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/03 - Calculating two date ranges.mp4 |
7.7 MB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/04 - Creating alerts with actions.mp4 |
11.5 MB |
| Linkedin - Python for Marketing/08 - Creating Helpful Alerts/04 - Creating alerts with actions.srt |
6 KB |
| Linkedin - Python for Marketing/09 - Conclusion/01 - Next steps.mp4 |
3.6 MB |
| Linkedin - Python for Marketing/Exercise Files/Ex_Files_Python_Marketing.zip |
1.8 MB |
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