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

Buisson, Florent

  • 出版商: O'Reilly
  • 出版日期: 2021-07-20
  • 定價: $2,680
  • 售價: 8.0$2,144
  • 語言: 英文
  • 頁數: 360
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1492061379
  • ISBN-13: 9781492061373
  • 相關分類: Python程式語言R 語言Data Science
  • 立即出貨 (庫存 < 3)

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商品描述

Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren't that specific, so customer data is treated the same way as, for example, astronomical or genomic data. This practical guide introduces powerful methods for behavioral data analysis that you're probably not aware of.

Advanced experimental design will help you get the most out of your A/B tests, while causal diagrams will allow you to tease out causality from correlation 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 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

商品描述(中文翻譯)

大部分公司收集的數據與顧客行為有關,例如網站點擊或超市購買等。然而,數據科學算法和預測分析工具並不具體,因此顧客數據與天文或基因組數據一樣被處理。這本實用指南介紹了一些強大的行為數據分析方法,您可能還不知道。

進階實驗設計將幫助您充分利用A/B測試,而因果圖將使您能夠在無法進行實驗的情況下從相關性中分辨因果關係。這本實用書以深入淺出的方式撰寫,適合數據科學家、業務分析師和行為科學家閱讀,並提供了完整的R和Python示例和練習,以幫助您從中獲得更多洞察。

本書內容包括:
- 理解行為數據的特點
- 探索測量和預測之間的差異
- 學習如何清理和準備行為數據
- 設計和分析實驗以推動最佳業務決策
- 使用行為數據理解和衡量因果關係
- 以透明且有洞察力的方式對顧客進行分割

作者簡介

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.

作者簡介(中文翻譯)

Florent Buisson是Allstate Insurance Company的行為科學主管。他負責管理一個行為科學家團隊,進行數據分析並實施行為干預,例如推動行為改變。

他之前在一家法國戰略咨詢公司工作,利用經濟學和數據分析回答複雜的測量問題,例如代表聯合國糧食和農業組織建立一個衡量發展中國家農業政策穩定性的指標。他還在特殊醫療保健分析領域工作,分析患有嚴重疾病的患者行為。

Florent在同行評審的《房地產研究期刊》等期刊上發表了學術文章。他擁有巴黎索邦大學的經濟計量學碩士學位和行為經濟學博士學位。