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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

Methods for collecting data

Imagine standing at the edge of a vast field and you wish to discover hidden treasures buried beneath the surface. You know the treasures are there, waiting to be found, but how do you go about finding them? This is the challenge that organizations face when it comes to collecting data. Data is the lifeblood of data-driven decision-making, and the process of collecting it is as crucial as the insights it can ultimately provide. But how do you collect data that is accurate, relevant, and valuable? How do you ensure the data you gather will help you make informed decisions?

As a decision-maker, understanding the methods and best practices for collecting data is essential to maximizing the potential of data science within your organization. In this section, we will explore data collection, its challenges, and its opportunities to help you establish a solid foundation for your data-driven journey.

How do you know which type of data is right for your organization...

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