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03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.mp4 15.82 MB
07 - Calculating, Filtering, and Creating New Metrics/02 - Calculating metrics.mp4 13.42 MB
05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.mp4 13.06 MB
04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.mp4 11.59 MB
07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.mp4 11.55 MB
08 - Creating Helpful Alerts/04 - Creating alerts with actions.mp4 11.48 MB
04 - Cleaning, Wrangling, and Joining Your Data/05 - Rebuilding Google Analytics data.mp4 9.85 MB
05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.mp4 9.74 MB
06 - Working with Timeseries/02 - Fixing missing values.mp4 9.64 MB
03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.mp4 9.46 MB
04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.mp4 9.3 MB
05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.mp4 9.26 MB
06 - Working with Timeseries/04 - Rolling average plots.mp4 8.95 MB
06 - Working with Timeseries/06 - Adding dynamic annotations to a plot.mp4 8.8 MB
03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.mp4 8.36 MB
05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.mp4 7.97 MB
08 - Creating Helpful Alerts/03 - Calculating two date ranges.mp4 7.74 MB
04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.mp4 7.68 MB
03 - Loading and Exploring Your Data/07 - Visualizing Google data.mp4 7.25 MB
05 - Visualizing Marketing Data in Python/03 - Creating Matplotlib subplots.mp4 7.21 MB
05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.mp4 7.09 MB
05 - Visualizing Marketing Data in Python/12 - Customizing a scatter plot in Seaborn.mp4 7.07 MB
05 - Visualizing Marketing Data in Python/06 - Rotating xticks labels on plot.mp4 6.51 MB
04 - Cleaning, Wrangling, and Joining Your Data/06 - Dropping columns.mp4 6.34 MB
03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.mp4 6.3 MB
06 - Working with Timeseries/05 - Plotting weekly PPC and CPC data.mp4 5.43 MB
06 - Working with Timeseries/03 - Resampling time series data.mp4 4.91 MB
08 - Creating Helpful Alerts/02 - Creating simple alerts.mp4 4.82 MB
04 - Cleaning, Wrangling, and Joining Your Data/08 - Merging Google Analytics and Search Console.mp4 4.8 MB
03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.mp4 4.32 MB
05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.mp4 4.18 MB
05 - Visualizing Marketing Data in Python/08 - Adding a title to your plot.mp4 4.12 MB
05 - Visualizing Marketing Data in Python/07 - Adding a legend to a plot.mp4 4.02 MB
03 - Loading and Exploring Your Data/02 - Installing Jupyter.mp4 3.97 MB
01 - Introduction/01 - Accelerate your marketing with Python.mp4 3.84 MB
09 - Conclusion/01 - Next steps.mp4 3.55 MB
04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.mp4 3.51 MB
02 - The Role of Python in Marketing/02 - Why Python is great for marketers.mp4 3.49 MB
03 - Loading and Exploring Your Data/01 - Introduction to pandas.mp4 3.13 MB
05 - Visualizing Marketing Data in Python/11 - Using a scatter plot in Seaborn.mp4 2.96 MB
03 - Loading and Exploring Your Data/04 - Importing Google Search Console data.mp4 2.88 MB
04 - Cleaning, Wrangling, and Joining Your Data/01 - Introduction to data wrangling.mp4 2.19 MB
02 - The Role of Python in Marketing/03 - Why Python is valuable for marketers.mp4 2.13 MB
04 - Cleaning, Wrangling, and Joining Your Data/09 - Saving your data to a CSV.mp4 2.06 MB
05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.mp4 1.9 MB
Exercise Files/Ex_Files_Python_Marketing.zip 1.77 MB
07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.mp4 1.51 MB
06 - Working with Timeseries/01 - Time series notebook.mp4 1.28 MB
02 - The Role of Python in Marketing/01 - Prerequisites.mp4 1022 KB
08 - Creating Helpful Alerts/01 - Intro to alert calculations.mp4 598.5 KB
05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.srt 7.02 KB
03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.srt 6.8 KB
04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.srt 6.21 KB
08 - Creating Helpful Alerts/04 - Creating alerts with actions.srt 6.11 KB
07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.srt 5.37 KB
03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.srt 4.96 KB
04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.srt 4.79 KB
05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.srt 4.69 KB
05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.srt 4.58 KB
05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.srt 4.22 KB
06 - Working with Timeseries/04 - Rolling average plots.srt 4.21 KB
03 - Loading and Exploring Your Data/07 - Visualizing Google data.srt 4.12 KB
05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.srt 4.02 KB
03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.srt 3.75 KB
04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.srt 3.48 KB
03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.srt 3.16 KB
06 - Working with Timeseries/03 - Resampling time series data.srt 3.01 KB
08 - Creating Helpful Alerts/02 - Creating simple alerts.srt 2.42 KB
02 - The Role of Python in Marketing/02 - Why Python is great for marketers.srt 2.36 KB
03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.srt 2.23 KB
01 - Introduction/01 - Accelerate your marketing with Python.srt 2.15 KB
04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.srt 1.65 KB
05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.srt 1.59 KB
05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.srt 1.17 KB
07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.srt 1.13 KB
06 - Working with Timeseries/01 - Time series notebook.srt 846 B
08 - Creating Helpful Alerts/01 - Intro to alert calculations.srt 488 B
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