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.
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
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.
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
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.
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 University in Paris.
|
Ask a Question About this Product More... |
|
