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Python for Marketing Research and Analytics

Overview of attention for book
Cover of 'Python for Marketing Research and Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Welcome to Python
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    Chapter 2 An Overview of Python
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    Chapter 3 Describing Data
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    Chapter 4 Relationships Between Continuous Variables
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    Chapter 5 Comparing Groups: Tables and Visualizations
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    Chapter 6 Comparing Groups: Statistical Tests
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    Chapter 7 Identifying Drivers of Outcomes: Linear Models
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    Chapter 8 Additional Linear Modeling Topics
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    Chapter 9 Reducing Data Complexity
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    Chapter 10 Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations
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    Chapter 11 Classification: Assigning Observations to Known Categories
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    Chapter 12 Conclusion
Attention for Chapter 9: Reducing Data Complexity
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