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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

Continuing Your Journey as a Data Science Leader

Embarking on a new career as a data science leader, or continuing your established one, can be both daunting and exciting. This book has given you a broad toolkit for data science. The field, however, is constantly evolving. Machine learning and artificial intelligence are advancing rapidly.

This final chapter aims to guide you. You’ll learn how to stay current with emerging technologies. You could specialize and become a thought leader in specific industries. Alternatively, you could become an expert in different fields of data science, machine learning, or AI.

We will discuss networking and promoting data-driven thinking within and outside your organization. We’ll explore resources to keep you updated with trends and learn continuously throughout your career.

The progress in data science, machine learning, and AI can be overwhelming. In this chapter, we’ll provide tips to stay up to date on important developments...

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