Python for Marketing Research and Analytics

Jason S. Schwarz (), Chris Chapman () and Elea Feit
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Jason S. Schwarz: Google
Chris Chapman: Google

in Springer Books from Springer

Date: 2020
ISBN: 978-3-030-49720-0
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Chapters in this book:

Ch Chapter 1 Welcome to Python

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 10 Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 11 Classification: Assigning Observations to Known Categories

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 12 Conclusion

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 2 An Overview of Python

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 3 Describing Data

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 4 Relationships Between Continuous Variables

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 5 Comparing Groups: Tables and Visualizations

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 6 Comparing Groups: Statistical Tests

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 7 Identifying Drivers of Outcomes: Linear Models

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 8 Additional Linear Modeling Topics

Jason S. Schwarz, Chris Chapman and Elea Feit

Ch Chapter 9 Reducing Data Complexity

Jason S. Schwarz, Chris Chapman and Elea Feit

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DOI: 10.1007/978-3-030-49720-0

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