Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
How to Lead in Data Science (Sách keo gáy, bìa mềm)
A field guide for the unique challenges of data
science leadership, filled with transformative insights, personal
experiences, and industry examples.
In How To Lead in Data Science you will learn:
• Best practices for leading projects while balancing complex trade-offs
• Specifying, prioritizing, and planning projects from vague requirements
• Navigating structural challenges in your organization
• Working through project failures with positivity and tenacity
• Growing your team with coaching, mentoring, and advising
• Crafting technology roadmaps and championing successful projects
• Driving diversity, inclusion, and belonging within teams
• Architecting a long-term business strategy and data roadmap as an executive
• Delivering a data-driven culture and structuring productive data science organizations
About the author
Dr.
Jike Chong and Yue Cathy Chang build, lead, and grow high-performing
data teams across industries in public and private companies, such as
Acorns, LinkedIn, large asset-management firms, and Fortune 50
companies.
Table of Contents
1 What makes a successful data
scientist? PART 1 THE TECH LEAD: CULTIVATING LEADERSHIP 2 Capabilities
for leading projects 3 Virtues for leading projects PART 2 THE MANAGER:
NURTURING A TEAM 4 Capabilities for leading people 5 Virtues for leading
people PART 3 THE DIRECTOR: GOVERNING A FUNCTION 6 Capabilities for
leading a function 7 Virtues for leading a function PART 4 THE
EXECUTIVE: INSPIRING AN INDUSTRY 8 Capabilities for leading a company 9
Virtues for leading a company PART 5 THE LOOP AND THE FUTURE 10
Landscape, organization, opportunity, and practice 11 Leading in data
science and a future outlook
Thể loại:Computers - Computer Science
Năm:2021
In lần thứ:1
Ngôn ngữ:english
Trang:514
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