Name: Behavioral Data Analysis With r and Python: Customer-Driven Data for Real Business Results (en Inglés)
Price: 73070.00 CLP
Availability: InStock
Author: Buisson, Florent
ISBN: 9781492061373

portada Behavioral Data Analysis With r and Python: Customer-Driven Data for Real Business Results (en Inglés)

Formato

Libro Físico

Autor

Florent Buisson

Editorial

O'Reilly Media

Año

2021

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Blanda

Dimensiones

23.3 x 17.8 x 1.9 cm

Peso

0.57 kg.

ISBN13

9781492061373

N° edición

Categorías

Economía conductista
Econometría
Matemáticas y sistemas empresariales

Behavioral Data Analysis With r and Python: Customer-Driven Data for Real Business Results (en Inglés)

Florent Buisson (Autor) · O'Reilly Media · Tapa Blanda

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Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Behavioral Data Analysis With r and Python: Customer-Driven Data for Real Business Results (en Inglés)"

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