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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

Embracing continuous learning

As a data science leader, learning about the latest advancements, techniques, and tools is important to drive innovation and maintain a competitive edge. However, with the exponential progress in DS/ML/AI, it can be overwhelming to keep pace.

Here are some methods to effectively continue learning without getting overwhelmed, while still focusing on your career growth.

Online courses

Online courses are a great way to learn new skills or deepen your understanding of specific topics. Platforms such as Coursera, edX, and Udacity offer a wide range of DS/ML/AI courses from top universities and industry leaders. Some notable courses include the following:

  • Data science courses:
    • Data Science Specialization by Johns Hopkins University (Coursera): This comprehensive series covers everything from data manipulation to creating data products. It’s ideal for beginners.
    • Applied Data Science with Python by the University of Michigan (Coursera): This...
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