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Executive Data Science
This book explains how to build and manage a successful organization for data science work.

About Executive Data Science
Executive Data Science is a book sold on Leanpub about assembling and leading a data science organization. It opens with a crash course in data science for readers who have not worked in the field, then covers recruiting and assembling a team, the structure of a data science pipeline and the goals of each stage, and management topics such as onboarding and working with other groups. Later sections address the data analysis process, from asking questions and exploratory analysis through modeling, interpretation and communication.
The book is available in PDF, iPad and Kindle formats, with a printed edition sold separately at Lulu. Pricing is pay-what-you-want: the minimum is free and the suggested price is $19.99. It is written in English and aims at readers taking on leadership of data science work rather than at experienced practitioners seeking deep technical training.
Key features
- Crash course in data science for leaders without prior experience
- Advice on recruiting, assembling, evaluating and developing data science teams
- Explains the data science pipeline and the goals of each stage
- Covers onboarding, team management and working with other groups
- Walks through asking questions, exploration, modeling, interpretation and communication
- Available as PDF, iPad and Kindle files; print edition via Lulu
- Written by three authors holding academic and industry data science positions
- Pay-what-you-want pricing with a free minimum and a $19.99 suggested price
- Covers both data science fundamentals and management practice
- Book is available in English only
- Printed copies must be purchased separately from Lulu
Executive Data Science at a glance
- Website
- leanpub.com/eds
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- iOS, Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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