Christopher C. Yang; Daniel Zeng; Michael Chau; Kuiyu Chang; Qing Yang; Xueqi Cheng; Jue Wang; Fei-Yue Wang; Hsinc Chen Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2007) Pehmeäkantinen kirja
Yue Xu (ed.); Rosalind Wang (ed.); Anton Lord (ed.); Yee Ling Boo (ed.); Richi Nayak (ed.); Yanchang Zhao (ed.); Williams Springer (2021) Pehmeäkantinen kirja
Manning Publications Sivumäärä: 396 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2022, 09.03.2022 (lisätietoa) Kieli: Englanti
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.
