Python for Marketing Research and Analytics

by Jason S. Schwarz, Chris Chapman, Elea McDonnell Feit

Book Overview

Part I: Basics of Python.- Chapter 1: Welcome to Python.- Chapter 2: The Python Language.- Part II Fundamentals of Data Analysis.- Chapter 3: Describing Data.- Chapter 4: Relationships Between Continuous Variables.- Chapter 5: Comparing Groups: Tables and Visualizations.- Chapter 6: Comparing Groups: Statistical Tests.- Chapter 7: Identifying Drivers of Outcomes: Linear Models.- Chapter 8: Additional Linear Modeling Topics.- Part III Advanced data analysis.- Chapter 9: Reducing Data Complexity.- Chapter 10: Segmentation: Unsupervised Clustering Methods for Exploring Subpopulations.- Chapter 11: Classification: Assigning observations to known categories.- Chapter 12: Conclusion.- Index.

• Format: Paperback
• Language: English
• ISBN: 3030497224
• ISBN13: 9783030497224
• Release Date: November 2021
• Publisher: Springer
• Length: 272 Pages
• Weight: 1.43 lbs.
• Dimensions: 0.6" x 8.3" x 11.0"