How to Lead in Data Science

Chong, Jike, Chang, Yue Cathy

  • 出版商: Manning
  • 出版日期: 2021-12-21
  • 售價: $2,100
  • 貴賓價: 9.5$1,995
  • 語言: 英文
  • 頁數: 512
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1617298891
  • ISBN-13: 9781617298899
  • 相關分類: Data Science
  • 立即出貨 (庫存 < 3)

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商品描述

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 company's data strategy.

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 company's data strategy. You'll find advice on plotting your long-term career advancement, as well as quick wins you can put into practice right away. Throughout, carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and show development areas to help advance your career.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

作者簡介

Dr. Jike Chong 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.