Python for Marketing

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Madecraft and Jennifer Tenorio

1:45:27

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01 - Introduction

01 - Accelerate your marketing with Python.mp4

01:20

02 - Check out the course prerequisites.mp4

00:37

03 - Set up your coding environment and tools.mp4

00:34

02 - 1. Exploring Marketing Data with Python

01 - Identify the role of Python in marketing.mp4

01:22

02 - Load marketing data in Python.mp4

02:15

03 - Interpret marketing data in Python.mp4

03:45

03 - 2. Cleaning Marketing Data with Python

01 - Clean marketing data in Python.mp4

02:24

02 - Handle missing values in marketing data.mp4

02:44

03 - Prepare for outlier handling in Python.mp4

02:30

04 - Handle outliers in marketing data.mp4

04:26

05 - Reformat marketing data in Python.mp4

03:30

04 - 3. Manipulating Marketing Data with Python

01 - Manipulate marketing data in Python.mp4

03:05

02 - Group marketing data by categories.mp4

03:15

03 - Merge marketing datasets in Python.mp4

01:49

04 - Filter marketing datasets in Python.mp4

02:53

05 - Export marketing data as CSV.mp4

01:38

05 - 4. Visualizing Marketing Data with Python

01 - Visualize marketing data in Python.mp4

01:41

02 - Create a bar plot in Python.mp4

02:37

03 - Label the axes in data visualization.mp4

03:03

04 - Add a title to your data visualization.mp4

01:46

05 - Use subplots for multiple visualizations.mp4

02:52

06 - Add a secondary y-axis to your data visualization.mp4

02:59

07 - Add a legend to your data visualization.mp4

01:31

08 - Annotate your data visualization.mp4

02:31

09 - Customize a scatter plot in Python.mp4

02:17

10 - Create a heatmap in Python.mp4

02:27

06 - 5. Working with Time Series Data in Python

01 - Find value of time series data in marketing.mp4

01:58

02 - Prepare the times series data for analysis.mp4

04:26

03 - Resample the time series data.mp4

03:00

04 - Create a rolling average plot for time-series marketing data.mp4

03:02

05 - Plot cost-per-click marketing data.mp4

03:25

06 - Add dynamic annotations.mp4

04:01

07 - 6. Calculating Metrics in Python

01 - Calculate click-through rate in Python.mp4

02:26

02 - Calculate bounce rate in Python.mp4

02:22

03 - Calculate key performance indicators.mp4

03:14

04 - Create new metrics for marketing reports.mp4

05:44

08 - 7. Automating Marketing Tasks with Python

01 - Send personalized emails using Python.mp4

05:05

02 - Set up helpful alerts with Python.mp4

02:10

03 - Web scraping for marketing insights.mp4

01:58

09 - Conclusion

01 - Unlock resources and next steps.mp4

00:45

Description

Take your marketing analytics to the next level with Python. The features that make Python so useful for data scientists are the same ones that marketers can use to better understand their customers, product performance, competition, and marketplace. In this course from Madecraft, learn how to use Python to improve marketing outcomes for your business.

Discover how to import and clean data from various sources, merge data sets, create detailed visualizations, analyze time series data, build custom metrics, and automate key tasks to streamline marketing activities. Along the way, get tips on combining these techniques to conduct market analysis, predict consumer behavior, assess the competition, monitor market trends, and more.

This course was created by Madecraft. We are pleased to host this training in our library.

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Python

Marketing Automation

Madecraft and Jennifer Tenorio

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.