How to Lead in Data Science - Couverture souple

Chong, Jike; Chang, Yue

Couverture souple

ISBN 10 : 1617298891 ISBN 13 : 9781617298899

Editeur : Manning Publications, 2022

Synopsis

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 propos du livre

À propos de l'auteur

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 CathyChang 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.

À propos de la quatrième de couverture

How to Lead in Data Science teaches strategies for thriving in data leadership and advancing your career in this competitive field. In this practical guide, authors Jike Chong and Yue Cathy Chang share leadership techniques that they've developed building multiple high-performance data teams.

You'll learn best practices for balancing trade-offs, planning projects from vague requirements, and navigating roadblocks in company management structure. Blending insights from the author's hard-won experience with the timeless teachings of Aristotle and Confucius, this book will help you cultivate yourself, your team, and your company's data culture―all while driving the impact of data science in your organization. Throughout, carefully crafted assessments and interview scenarios encourage introspection, reveal personal blind spots, and show development areas to help advance your career.

Détails de l'édition

• Éditeur: Manning Publications
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 1617298891
• ISBN 13: 9781617298899
• Reliure: Broché
• Numéro d'édition: 1
• Nombre de pages: 396
• Coordonnées du fabricant: Pearson Benelux BV; productsafety@pearson.com; ; Kabelweg 37; Amsterdam; 1014 BA; Pays-Bas