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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

Achieving team Zen

A balanced team solves all incoming tasks efficiently and effortlessly. Each team member complements others and helps others to find a solution with their unique capabilities. However, balanced teams do not just magically come into existence when a skillful leader assembles their elite squad. Finding team Zen is not a momentary achievement; you need to work to find it. It may seem that some teams are stellar performers while others are underwhelming. It is crucial to realize that team performance is not a constant state. The best teams can become the worst, and vice versa. Each team should work to improve. Some teams may need less work, while others will be harder to change, but no team is hopeless.

But what makes a balanced team? Each team member is unique in their soft and hard skill sets. Some people are a universal jack of all trades, while others are...

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