Managing Data Science

Table of Contents

1. What You Can Do with Data Science
2. Testing Your Models
3. Understanding AI
4. An ideal Data Science team
5. Conducting Data Science Interviews
6. Building Your Data Science Team
7. Managing Innovation
8. Managing Data Science Projects
9. Common Pitfalls of Data Science Projects
10. Creating Products and Improving Reusability
11. Implementing ModelOps
12. Building your Technology Stack
13. Conclusion