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Behavioral Data Analysis with R and Python - Florent Buisson

Behavioral Data Analysis with R and Python

Customer-Driven Data for Real Business Results

(Autor)

Buch | Softcover
300 Seiten
2021
O'Reilly Media (Verlag)
978-1-4920-6137-3 (ISBN)
CHF 109,95 inkl. MwSt
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.

Erscheinungsdatum
Verlagsort Sebastopol
Sprache englisch
Maße 178 x 233 mm
Themenwelt Mathematik / Informatik Informatik Datenbanken
ISBN-10 1-4920-6137-9 / 1492061379
ISBN-13 978-1-4920-6137-3 / 9781492061373
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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