How to Lead in Data Science (Paperback)

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. Leading a data science team takes more than the typical set of business management skills. You need specific know-how to articulate technology roadmaps, support a data-driven culture, and plan a data strategy that drives a competitive business plan. Whether you're looking to manage your team better or work towards a seat at your company's top leadership table, this book will show you how.

General

Imprint:	Manning Publications
Country of origin:	United States
Release date:	December 2021
Authors:	Jike Chong • Yue Cathy Chang
Dimensions:	234 x 185 x 30mm (L x W x T)
Format:	Paperback
Pages:	396
ISBN-13:	978-1-61729-889-9
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Computer programming > Software engineering Books > Computing & IT > Applications of computing > Databases > Data capture & analysis Promotions
LSN:	1-61729-889-1
Barcode:	9781617298899

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