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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

Who this book is for

Are you an executive seeking to harness the power of data science and AI? A manager eager to lead data-driven teams to success? Or perhaps a data scientist ready to step into a leadership role? If so, this book is for you.

Data Science for Decision Makers is designed for leaders who want to leverage data insights effectively. You don’t need a formal background in statistics or machine learning. What you do need is a desire to understand these concepts, ask the right questions, and make informed decisions.

If you work with data scientists and machine learning engineers, this book will help you interpret their models with confidence. You’ll learn how to recognize valuable opportunities for AI and plan projects that deliver real business value.

Executives will gain a solid foundation in data science methods. Managers will discover how to build and guide high-performing teams. Data scientists will develop the skills to become influential leaders. Wherever you are in your career, this book will help you succeed in the age of AI.

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