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How to Lead in Data Science / Jike Chong and Yue Cathy Chang.
- Format:
- Book
- Author/Creator:
- Chong, Jike, author.
- Chang, Yue Cathy, author.
- Language:
- English
- Subjects (All):
- Information technology--Management.
- Information technology.
- Database management.
- Leadership.
- Physical Description:
- 1 online resource (512 pages)
- Edition:
- 1st edition.
- Place of Publication:
- Shelter Island, New York : Manning Publications, 2021.
- Summary:
- How to Lead in Data Science shares unique leadership techniques from high-performance data teams. It's filled with best practices for balancing project trade-offs and producing exceptional results, even when beginning with vague requirements or unclear expectations. You'll find a clearly presented modern leadership framework based on current case studies, with insights reaching all the way to Aristotle and Confucius. As you read, you'll build practical skills to grow and improve your team, your company's data culture, and yourself.
- Contents:
- What makes a successful data scientist?
- Capabilities for leading projects
- Virtues for leading projects
- Capabiligies for leading people
- Virtues for leading people
- Capabilities for leading a function
- Virtues for leading a function
- Capabilities for leading a company
- Virtues for leading a company
- Landscape, organization, opportunity, and practice
- Leading in data science and a future outlook.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781617298899
- 1617298891
- OCLC:
- 1288628699
- Publisher Number:
- 9781617298899
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