Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results

by Florent Buisson

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. 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.

358 pages, Paperback

Published July 20, 2021

Reviews

[Justohidalgo · Rating 5 out of 5]

Coming to behavioral analysis from the product management world, I am always lo9ing for books that go beyond the “use this tool and you will find the statistically significant results right away”. Things are not that easy. This book is certainly useful to continue this path as it introduced me to many statistical concepts I didn’t know about (mediation, stratification, …) and others I knew about but not in such as deep level (bootstrap, causal diagrams.)
This is a book I will need to come back to later on as I need to make use of real data to fully understand how some of the stuff explained in the book works. But I’ve found it very enlightening.

[Josua Naiborhu · Rating 5 out of 5]

compelling book followed by concise and clear explanations of how to do data analysis by taking into account some interesting factors like actions, intentions, cognitions and emotions, personal characteristics and business behaviors which is things I sometimes overlook when it comes to analyzing data to construct customer-driven data. really good book to read.