This course explores common analytics methods used by marketers. You’ll learn how to define a target audience using segmentation with K-means clustering. You’ll also explore how linear regression can help marketers plan and forecast. You’ll learn to evaluate the effectiveness of advertising using experiments as well as observational methods and you’ll explore methods to optimize your marketing mix; marketing mix modeling and attribution. Finally, you’ll learn to evaluate sales funnel shapes, visualize and optimize them.Read more.
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The techniques and tools covered in Data Analytics Methods for Marketing are most similar to the requirements found in Data Analyst job advertisements.
Data Analytics Methods for Marketing is a part of one structured learning path.