How to Lead in Data Science
$171.72
- Paperback
396 pages
- Release Date
9 March 2022
Summary
To lead a data science team, you need to expertly articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. In this practical guide, you’ll learn leadership techniques the authors have developed building multiple high-performance data teams.
In How to Lead in Data Science you’ll master techniques for leading data science at every seniority level, from heading up a single project to overseeing a whole compa…
Book Details
| ISBN-13: | 9781617298899 |
|---|---|
| ISBN-10: | 1617298891 |
| Author: | Jike Chong, Yue Chang |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 396 |
| Release Date: | 9 March 2022 |
| Weight: | 940g |
| Dimensions: | 30mm x 185mm x 234mm |
Critics Review
“Improveleadership skills, irrespective of the domain you are in.”
Vishwesh RaviShrimali
“Whether you are new to managing, new to data science, or just want tobe a better advocate for your data team there are a lot of tips to improve yourpractice.”
MichaelPetrey
“This is a book that surpasses the boundaries of mining data and coding,but warns you about not forgetting them in the effort to successfully lead datascience teams.”
JesúsJuárez-Guerrero
“Excellent book. Covers a large complex topic in a clear and understandableway.”
GaryBake
“Excellent and ambitious book that provides actionable insight on how tolead in data science. Filled with insightful vignettes, anecdotes, and casestudies to bring life and relevance to the frameworks and discussion.”
MarcParadis
Jike Chong
Dr. JikeChong and Yue Cathy Chang have both built, led, and grown multiple high-performing data teams.
Dr. Chong developed the Yiren Digital Ltd. data team from the ground up, expanded and led the data team as chief data scientist at Acorns, and recently led the Hiring Marketplace Data Science team at LinkedIn.
Yue Cathy Chang and her team “parachuted” into companies to address challenging and meaningful data needs. She has worked with leaders of centralized and distributed data teams at organizations big and small, including large asset-management firms and Fortune 50 companies.
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