Principles of Strategic Data Science

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.

Type
ebook
Category
Data
publication date
2019-06-03
what you will learn

Discover the five most important steps of data science
Use the Conway diagram to visualize a data science team’s technical skills
Understand the limitations of data science from a mathematical and ethical perspective
Get a quick overview of machine learning
Understand the purpose of using data science in your work
Explore the role of data science managers
Gain insight into the purpose of using data science in your work
Understand the role of data science managers and their expectations

no of pages
104
duration
208
key features
Gain detailed information about the theory of data science * Augment your coding knowledge with practical data science techniques for efficient data analysis * Learn practical ways to strategically and systematically use data
approach
This book covers the basic approach to creating value from data. It is developed as a practical guide to strategically and systematically use data to create a better world. It doesn't dwell on promises of machine learning, artificial intelligence or quantum computing. The framework in this book is inspired by the author's current and desired practice as an engineer and social scientist, with a data science responsibility and best-practice in management.
audience
This book is for data scientists and data analysts who are looking for a practical guide to help them strategically and systematically use data. You’ll also find this book useful if you simply want to understand what data science is and how an organization can adopt a data-driven approach. Prior knowledge of Python and R programming is assumed.
meta description
Take the strategic and systematic approach to analyze data to solve business problems
short description
Principles of Strategic Data Science describes a framework that creates value from data to help organizations meet their objectives. With this book, you'll bridge the gap between mathematics and computer science and also gain insight into the workings of the entire data science pipeline.
subtitle
Creating value from data, big and small
keywords
Data science, data visualization, R, Python, pseudocode, Data Analysis, Strategic data
Product ISBN
9781838985295