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Data Science for Marketing Analytics

You're reading from   Data Science for Marketing Analytics A practical guide to forming a killer marketing strategy through data analysis with Python

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Product type Paperback
Published in Sep 2021
Publisher Packt
ISBN-13 9781800560475
Length 636 pages
Edition 2nd Edition
Languages
Tools
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Authors (3):
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Vishwesh Ravi Shrimali Vishwesh Ravi Shrimali
Author Profile Icon Vishwesh Ravi Shrimali
Vishwesh Ravi Shrimali
Mirza Rahim Baig Mirza Rahim Baig
Author Profile Icon Mirza Rahim Baig
Mirza Rahim Baig
Gururajan Govindan Gururajan Govindan
Author Profile Icon Gururajan Govindan
Gururajan Govindan
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Toc

Table of Contents (11) Chapters Close

Preface
1. Data Preparation and Cleaning 2. Data Exploration and Visualization FREE CHAPTER 3. Unsupervised Learning and Customer Segmentation 4. Evaluating and Choosing the Best Segmentation Approach 5. Predicting Customer Revenue Using Linear Regression 6. More Tools and Techniques for Evaluating Regression Models 7. Supervised Learning: Predicting Customer Churn 8. Fine-Tuning Classification Algorithms 9. Multiclass Classification Algorithms Appendix

Summary

In this chapter, you have looked at exploratory data analysis. You learned how to leverage pandas to help you focus on the attributes that are critical to your business goals. Later, you learned how to use the tools that helped you fine-tuned these insights to make them more comprehensible to your stakeholders. Toward the end of the chapter, you used visualization libraries like seaborn and matplotlib to visually present your insights. Effective data visualization will also help reveal hidden insights in your data. The skills you've learned so far should help you create a strong foundation for your journey toward mastering marketing analytics.

In the next chapter, you will build upon these skills by learning some of the practical applications of exploratory data analysis through examples you may encounter in practice as a marketing analyst.

You have been reading a chapter from
Data Science for Marketing Analytics - Second Edition
Published in: Sep 2021
Publisher: Packt
ISBN-13: 9781800560475
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