menu
{ "item_title" : "Behavioral Data Analysis with R and Python", "item_author" : [" Florent Buisson "], "item_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, 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 dataExplore the differences between measurement and predictionLearn how to clean and prepare behavioral dataDesign and analyze experiments to drive optimal business decisionsUse behavioral data to understand and measure cause and effectSegment customers in a transparent and insightful way", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/49/206/137/1492061379_b.jpg", "price_data" : { "retail_price" : "79.99", "online_price" : "79.99", "our_price" : "79.99", "club_price" : "79.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Behavioral Data Analysis with R and Python|Florent Buisson

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

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

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

Details

  • ISBN-13: 9781492061373
  • ISBN-10: 1492061379
  • Publisher: O'Reilly Media
  • Publish Date: July 2021
  • Dimensions: 9.19 x 7 x 0.75 inches
  • Shipping Weight: 1.26 pounds
  • Page Count: 358

Related Categories

You May Also Like...

    1

BAM Customer Reviews