Principles of Strategic Data Science
By :
Principles of Strategic Data Science
By:
Overview of this book
Mathematics and computer science form an integral part of data science, and understanding them is crucial for efficiently managing data. This book is designed to take you through the entire data science pipeline and help you join the dots between mathematics, programming, and business analysis.
You’ll start by learning what data science is and how organizations can use it to revolutionize the way they use their data. The book then covers the criteria for the soundness of data products and demonstrates how to effectively visualize information. As you progress, you’ll discover the strategic aspects of data science by exploring the five-phase framework that enables you to enhance the value you extract from data. Toward the concluding chapters, you’ll understand the role of a data science manager in helping an organization take the data-driven approach.
By the end of this book, you’ll have a good understanding of data science and how it can enable you to extract value from your data.
Table of Contents (6 chapters)
Preface
Free Chapter
Chapter 1: What is Data Science?
Chapter 2: Good Data Science
Chapter 3: Strategic Data Science
Chapter 4: The Data-Driven Organization
References
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