Description
Product ID: | 9781617298899 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Title: | How to Lead in Data Science |
Authors: | Author: Jike Chong, Yue Cathy Chang |
Page Count: | 396 |
Subjects: | Algorithms and data structures, Algorithms & data structures, Software Engineering, Data capture and analysis, Software Engineering, Data capture & analysis |
Description: | Select Guide Rating 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. A practical field guide for the unique challenges of data science leadership, filled with transformative insights, personal experiences, and industry examples. |
Imprint Name: | Manning Publications |
Publisher Name: | Manning Publications |
Country of Publication: | GB |
Publishing Date: | 2022-03-09 |