How to Lead in Data Science - Chong, Jike; Chang, Yue Cathy
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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…mehr

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Produktbeschreibung
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.
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Autorenporträt
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.