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Managing Data Science

You're reading from   Managing Data Science Effective strategies to manage data science projects and build a sustainable team

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838826321
Length 290 pages
Edition 1st Edition
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Author (1):
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Kirill Dubovikov Kirill Dubovikov
Author Profile Icon Kirill Dubovikov
Kirill Dubovikov
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Table of Contents (18) Chapters Close

1. Section 1: What is Data Science? FREE CHAPTER
2. What You Can Do with Data Science 3. Testing Your Models 4. Understanding AI 5. Section 2: Building and Sustaining a Team
6. An Ideal Data Science Team 7. Conducting Data Science Interviews 8. Building Your Data Science Team 9. Section 3: Managing Various Data Science Projects
10. Managing Innovation 11. Managing Data Science Projects 12. Common Pitfalls of Data Science Projects 13. Creating Products and Improving Reusability 14. Section 4: Creating a Development Infrastructure
15. Implementing ModelOps 16. Building Your Technology Stack 17. Conclusion 18. Other Books You May Enjoy

Facilitating a growth mindset

The last key component of team building we will cover is a growth mindset. The constant growth of your team is necessary if you do not want it to fall apart. Without growth, there will be no motivation, no new goals, and no progress. We can distill team growth into two components: the global growth of a team as a whole and the local growth of each individual team member.

Growing the expertise of your team as a whole

Global growth happens when your team gets through challenges, develops projects, and is given new opportunities. Global team growth happens alongside the expansion of your company. But the contrary is not true: if your company's business grows, it does not mean that your team...

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