Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data—immediately.
- Understand the specifics of behavioral data
- Explore the differences between measurement and prediction
- Learn how to clean and prepare behavioral data
- Design and analyze experiments to drive optimal business decisions
- Use behavioral data to understand and measure cause and effect
- Segment customers in a transparent and insightful way
Product Details
ISBN-13: 9781492061373
Media Type: Paperback
Publisher: O'Reilly Media - Incorporated
Publication Date: 07-13-2021
Pages: 358
Product Dimensions: 6.90(w) x 9.00(h) x 0.80(d)
About the Author
Florent Buisson is a behavioral economist with 10 years of experience in business, analytics, and behavioral science. He most recently started and led for four years the behavioral science team of Allstate Insurance Company. Florent has published academic articles in journals such as the peer-reviewed Journal of Real Estate Research. He holds a Master’s degree in econometrics as well as a Ph.D. in behavioral economics from the Sorbonne Universityin Paris.