Linkedin - Python for Marketing

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Added 6 years ago by xHOBBiTx in Other
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Linkedin - Python for Marketing

Torrent Contents Size: 309.9 MB

Linkedin - Python for Marketing
▼ show more 61 files
01 - Accelerate your marketing with Python.mp4
MP4
3.8 MB
01 - Accelerate your marketing with Python.srt
SRT
2.1 KB
01 - Custom visualizations in Python.mp4
MP4
1.9 MB
01 - Custom visualizations in Python.srt
SRT
1.2 KB
01 - Intro to alert calculations.mp4
MP4
598.5 KB
01 - Intro to alert calculations.srt
SRT
512 B
01 - Introduction to calculating and filtering.mp4
MP4
1.5 MB
01 - Introduction to calculating and filtering.srt
SRT
1.1 KB
01 - Introduction to data wrangling.mp4
MP4
2.2 MB
01 - Introduction to pandas.mp4
MP4
3.1 MB
01 - Next steps.mp4
MP4
3.6 MB
01 - Time series notebook.mp4
MP4
1.3 MB
01 - Time series notebook.srt
SRT
819.2 B
02 - Calculating metrics.mp4
MP4
13.4 MB
02 - Creating simple alerts.mp4
MP4
4.8 MB
02 - Creating simple alerts.srt
SRT
2.4 KB
02 - Fixing Google Analytics page data.mp4
MP4
11.6 MB
02 - Fixing Google Analytics page data.srt
SRT
6.2 KB
02 - Fixing missing values.mp4
MP4
9.6 MB
02 - Import, explore, and plot a basic chart.mp4
MP4
13.1 MB
02 - Import, explore, and plot a basic chart.srt
SRT
7 KB
02 - Installing Jupyter.mp4
MP4
4 MB
02 - Why Python is great for marketers.mp4
MP4
3.5 MB
02 - Why Python is great for marketers.srt
SRT
2.4 KB
03 - Calculating two date ranges.mp4
MP4
7.7 MB
03 - Creating Matplotlib subplots.mp4
MP4
7.2 MB
03 - Filtering data.mp4
MP4
11.5 MB
03 - Filtering data.srt
SRT
5.4 KB
03 - Importing Google Analytics data.mp4
MP4
15.8 MB
03 - Importing Google Analytics data.srt
SRT
6.8 KB
03 - Preparing data to be grouped.mp4
MP4
7.7 MB
03 - Preparing data to be grouped.srt
SRT
3.5 KB
03 - Resampling time series data.mp4
MP4
4.9 MB
03 - Resampling time series data.srt
SRT
3 KB
03 - Why Python is valuable for marketers.mp4
MP4
2.1 MB
04 - Creating alerts with actions.mp4
MP4
11.5 MB
04 - Creating alerts with actions.srt
SRT
6.1 KB
04 - Creating new datasets with Groupby.mp4
MP4
9.3 MB
04 - Creating new datasets with Groupby.srt
SRT
4.8 KB
04 - Importing Google Search Console data.mp4
MP4
2.9 MB
04 - Plotting a secondary y-axis.mp4
MP4
7.1 MB
04 - Plotting a secondary y-axis.srt
SRT
4 KB
04 - Rolling average plots.mp4
MP4
8.9 MB
04 - Rolling average plots.srt
SRT
4.2 KB
05 - Adding x and y labels to a plot.mp4
MP4
8 MB
05 - Adding x and y labels to a plot.srt
SRT
4.2 KB
05 - Importing Facebook and AdWords data.mp4
MP4
8.4 MB
05 - Importing Facebook and AdWords data.srt
SRT
3.7 KB
05 - Plotting weekly PPC and CPC data.mp4
MP4
5.4 MB
05 - Rebuilding Google Analytics data.mp4
MP4
9.9 MB
06 - Accessing the Google Trends API.mp4
MP4
6.3 MB
06 - Accessing the Google Trends API.srt
SRT
3.2 KB
06 - Adding dynamic annotations to a plot.mp4
MP4
8.8 MB
06 - Dropping columns.mp4
MP4
6.3 MB
06 - Rotating xticks labels on plot.mp4
MP4
6.5 MB
07 - Adding a legend to a plot.mp4
MP4
4 MB
07 - Replacing missing Facebook Ad data.mp4
MP4
3.5 MB
07 - Replacing missing Facebook Ad data.srt
SRT
1.7 KB
07 - Visualizing Google data.mp4
MP4
7.2 MB
07 - Visualizing Google data.srt
SRT
4.1 KB
08 - Adding a title to your plot.mp4
MP4
4.1 MB
08 - Merging Google Analytics and Search Console.mp4
MP4
4.8 MB
08 - Plotting Facebook and Google Ads data.mp4
MP4
9.5 MB
08 - Plotting Facebook and Google Ads data.srt
SRT
5 KB
09 - Adding annotations to plots.mp4
MP4
9.3 MB
09 - Adding annotations to plots.srt
SRT
4.7 KB
09 - Saving your data to a CSV.mp4
MP4
2.1 MB
09 - Visualizing Google Trends data.mp4
MP4
4.3 MB
09 - Visualizing Google Trends data.srt
SRT
2.2 KB
10 - Switching between Matplotlib styles.mp4
MP4
4.2 MB
10 - Switching between Matplotlib styles.srt
SRT
1.6 KB
11 - Using a scatter plot in Seaborn.mp4
MP4
3 MB
12 - Customizing a scatter plot in Seaborn.mp4
MP4
7.1 MB
13 - Creating a Facebook Ads heatmap in Seaborn.mp4
MP4
9.7 MB
13 - Creating a Facebook Ads heatmap in Seaborn.srt
SRT
4.6 KB
Ex_Files_Python_Marketing.zip
ZIP
1.8 MB

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