What this book covers
Chapter 1, Data Science and Marketing, covers the basics of how data science is used for marketing. It will briefly introduce frequently used data science and machine learning techniques and how those techniques are applied when it comes to creating better marketing strategies. It also covers how to set up your Python and R environments for upcoming projects.
Chapter 2, Key Performance Indicators and Visualizations, goes over some of the key performance indicators (KPIs) to track in marketing. This chapter discusses how Python and R can be used to compute such KPIs and how to build visualizations of those KPIs.
Chapter 3, Drivers behind Marketing Engagement, demonstrates how to use regression analysis to understand what ...
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