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Linkedin - Python for Marketing

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Title: LinkedinGroup: NOGRPSource: Linkedin
Info Hash
10169DCA586C528393FCFD7D12DEB482371A741D
Source
Unverified
Total Size
309.87 MB
Total Files
77
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0
Leechers
2
Health
Score
2
Type
Bookware

File List

FileSize
Linkedin - Python for Marketing/01 - Introduction/01 - Accelerate your marketing with Python.mp43.84 MB
Linkedin - Python for Marketing/01 - Introduction/01 - Accelerate your marketing with Python.srt2.15 KB
Linkedin - Python for Marketing/02 - The Role of Python in Marketing/01 - Prerequisites.mp41022 KB
Linkedin - Python for Marketing/02 - The Role of Python in Marketing/02 - Why Python is great for marketers.mp43.49 MB
Linkedin - Python for Marketing/02 - The Role of Python in Marketing/02 - Why Python is great for marketers.srt2.36 KB
Linkedin - Python for Marketing/02 - The Role of Python in Marketing/03 - Why Python is valuable for marketers.mp42.13 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/01 - Introduction to pandas.mp43.13 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/02 - Installing Jupyter.mp43.97 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.mp415.82 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/03 - Importing Google Analytics data.srt6.8 KB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/04 - Importing Google Search Console data.mp42.88 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.mp48.36 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/05 - Importing Facebook and AdWords data.srt3.75 KB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.mp46.3 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/06 - Accessing the Google Trends API.srt3.16 KB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/07 - Visualizing Google data.mp47.25 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/07 - Visualizing Google data.srt4.12 KB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.mp49.46 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/08 - Plotting Facebook and Google Ads data.srt4.96 KB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.mp44.32 MB
Linkedin - Python for Marketing/03 - Loading and Exploring Your Data/09 - Visualizing Google Trends data.srt2.23 KB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/01 - Introduction to data wrangling.mp42.19 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.mp411.59 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/02 - Fixing Google Analytics page data.srt6.21 KB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.mp47.68 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/03 - Preparing data to be grouped.srt3.48 KB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.mp49.3 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/04 - Creating new datasets with Groupby.srt4.79 KB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/05 - Rebuilding Google Analytics data.mp49.85 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/06 - Dropping columns.mp46.34 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.mp43.51 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/07 - Replacing missing Facebook Ad data.srt1.65 KB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/08 - Merging Google Analytics and Search Console.mp44.8 MB
Linkedin - Python for Marketing/04 - Cleaning, Wrangling, and Joining Your Data/09 - Saving your data to a CSV.mp42.06 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.mp41.9 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/01 - Custom visualizations in Python.srt1.17 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.mp413.06 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/02 - Import, explore, and plot a basic chart.srt7.02 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/03 - Creating Matplotlib subplots.mp47.21 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.mp47.09 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/04 - Plotting a secondary y-axis.srt4.02 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.mp47.97 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/05 - Adding x and y labels to a plot.srt4.22 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/06 - Rotating xticks labels on plot.mp46.51 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/07 - Adding a legend to a plot.mp44.02 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/08 - Adding a title to your plot.mp44.12 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.mp49.26 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/09 - Adding annotations to plots.srt4.69 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.mp44.18 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/10 - Switching between Matplotlib styles.srt1.59 KB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/11 - Using a scatter plot in Seaborn.mp42.96 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/12 - Customizing a scatter plot in Seaborn.mp47.07 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.mp49.74 MB
Linkedin - Python for Marketing/05 - Visualizing Marketing Data in Python/13 - Creating a Facebook Ads heatmap in Seaborn.srt4.58 KB
Linkedin - Python for Marketing/06 - Working with Timeseries/01 - Time series notebook.mp41.28 MB
Linkedin - Python for Marketing/06 - Working with Timeseries/01 - Time series notebook.srt846 B
Linkedin - Python for Marketing/06 - Working with Timeseries/02 - Fixing missing values.mp49.64 MB
Linkedin - Python for Marketing/06 - Working with Timeseries/03 - Resampling time series data.mp44.91 MB
Linkedin - Python for Marketing/06 - Working with Timeseries/03 - Resampling time series data.srt3.01 KB
Linkedin - Python for Marketing/06 - Working with Timeseries/04 - Rolling average plots.mp48.95 MB
Linkedin - Python for Marketing/06 - Working with Timeseries/04 - Rolling average plots.srt4.21 KB
Linkedin - Python for Marketing/06 - Working with Timeseries/05 - Plotting weekly PPC and CPC data.mp45.43 MB
Linkedin - Python for Marketing/06 - Working with Timeseries/06 - Adding dynamic annotations to a plot.mp48.8 MB
Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.mp41.51 MB
Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/01 - Introduction to calculating and filtering.srt1.13 KB
Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/02 - Calculating metrics.mp413.42 MB
Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.mp411.55 MB
Linkedin - Python for Marketing/07 - Calculating, Filtering, and Creating New Metrics/03 - Filtering data.srt5.37 KB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/01 - Intro to alert calculations.mp4598.5 KB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/01 - Intro to alert calculations.srt488 B
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/02 - Creating simple alerts.mp44.82 MB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/02 - Creating simple alerts.srt2.42 KB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/03 - Calculating two date ranges.mp47.74 MB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/04 - Creating alerts with actions.mp411.48 MB
Linkedin - Python for Marketing/08 - Creating Helpful Alerts/04 - Creating alerts with actions.srt6.11 KB
Linkedin - Python for Marketing/09 - Conclusion/01 - Next steps.mp43.55 MB
Linkedin - Python for Marketing/Exercise Files/Ex_Files_Python_Marketing.zip1.77 MB

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