Behavioral Data Analysis with R and Python: Customer-Driven Data for Real Business Results
暫譯: 使用 R 和 Python 進行行為數據分析：以客戶為導向的數據實現真實商業成果
Buisson, Florent
- 出版商: O'Reilly
- 出版日期: 2021-07-20
- 定價: $2,680
- 售價: 9.5 折 $2,546
- 貴賓價: 9.0 折 $2,412
- 語言: 英文
- 頁數: 360
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1492061379
- ISBN-13: 9781492061373
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相關分類:
Python、程式語言、R 語言、Data Science
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相關主題
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)
大多數公司收集的數據與客戶行為有關，例如網站上的點擊或超市中的購買。但數據科學算法和預測分析工具並不那麼具體，因此客戶數據與天文數據或基因組數據等其他數據一樣被處理。本實用指南介紹了一些您可能不熟悉的行為數據分析的強大方法。
進階實驗設計將幫助您充分利用 A/B 測試，而因果圖則使您能夠在無法進行實驗的情況下從相關性中提取因果關係。本書以易於理解的風格撰寫，適合數據科學家、商業分析師和行為科學家，提供完整的範例和 R 及 Python 的練習，幫助您立即獲得更多見解。
- 了解行為數據的具體細節
- 探索測量與預測之間的差異
- 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商業決策
- 使用行為數據來理解和衡量因果關係
- 以透明且具洞察力的方式對客戶進行細分
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 的行為科學部門負責人。他管理著一支行為科學家團隊，負責進行數據分析並實施行為干預措施，例如「輕推」（nudges）。
他之前曾在一家法國策略諮詢公司工作，利用經濟學和數據分析來解決複雜的測量問題，例如代表聯合國糧食及農業組織建立一個衡量發展中國家農業政策穩定性的指數。他還在專科醫療分析領域工作，分析重病患者的行為。
Florent 在《不動產研究期刊》等同行評審的學術期刊上發表過學術文章。他擁有巴黎索邦大學的計量經濟學碩士學位以及行為經濟學博士學位。
