Behavioral Data Analysis with R and Python
Behavioral Data Analysis with R and Python
By: Florent Buisson | Publisher: Shroff/O'Reilly | Year: 2021
ISBN: 9789391043605
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Description
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, thispractical 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
About the Author
Florent Buisson is head of Behavioral Science at Allstate Insurance Company. He manages a team of behavioral scientists who run data analyses and implement behavioral interventions such as nudges.
He previously worked for a French strategy consulting firm where he used economics and data analysis to answer complex measurement questions, for example building an index measuring the stability of agricultural policies in developing countries on behalf of the UN Food and Agriculture Organization. He also worked in specialty healthcare analytics, analyzing the behaviors of patients with severe diseases.