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Data Science for Decision Makers

You're reading from   Data Science for Decision Makers Enhance your leadership skills with data science and AI expertise

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781837637294
Length 270 pages
Edition 1st Edition
Languages
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Author (1):
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Jon Howells Jon Howells
Author Profile Icon Jon Howells
Jon Howells
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Table of Contents (20) Chapters Close

Preface 1. Part 1: Understanding Data Science and Its Foundations
2. Chapter 1: Introducing Data Science FREE CHAPTER 3. Chapter 2: Characterizing and Collecting Data 4. Chapter 3: Exploratory Data Analysis 5. Chapter 4: The Significance of Significance 6. Chapter 5: Understanding Regression 7. Part 2: Machine Learning – Concepts, Applications, and Pitfalls
8. Chapter 6: Introducing Machine Learning 9. Chapter 7: Supervised Machine Learning 10. Chapter 8: Unsupervised Machine Learning 11. Chapter 9: Interpreting and Evaluating Machine Learning Models 12. Chapter 10: Common Pitfalls in Machine Learning 13. Part 3: Leading Successful Data Science Projects and Teams
14. Chapter 11: The Structure of a Data Science Project 15. Chapter 12: The Data Science Team 16. Chapter 13: Managing the Data Science Team 17. Chapter 14: Continuing Your Journey as a Data Science Leader 18. Index 19. Other Books You May Enjoy

Summary

Congratulations on reaching the end of this book and your journey toward becoming a data science leader. You should now have a solid grasp of key concepts within statistics and machine learning and the techniques and best practices needed to succeed as a data science leader.

We’ve covered a wide range of topics, from the basics to advanced applications. We’ve also explored the practical aspects of building teams, promoting a data-driven culture, and staying up to date with the latest developments.

As you transition into your new role, keep learning continuously, collaborate with skilled, like-minded people, and foster innovation as a team.

Don’t forget the human factor. Wield these powerful tools responsibly and ethically for the benefit of society.

Move forward with confidence and a curious mindset, never stop learning, and apply your expertise to make a real impact.

The future of data science, machine learning, and artificial intelligence...

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