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

Buisson, Florent

 
9781492061373: Behavioral Data Analysis With R and Python: Customer-Driven Data for Real Business Results
Softcover
ISBN 10: 1492061379 ISBN 13: 9781492061373
Verlag: O'Reilly Media, 2021

Inhaltsangabe

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

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Über die Autorin bzw. den Autor

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 University in Paris.

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Verlag
O'Reilly Media
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
1492061379
ISBN 13 
9781492061373
Einband
Taschenbuch
Anzahl der Seiten
358
Kontakt zum Hersteller
O'Reilly
https://oreilly.com

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Verantwortliche Person
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