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Principles of Strategic Data Science Cover

Principles of Strategic Data Science

Creating value from data, big and small

Paid access
|Jun 2019
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Take the strategic and systematic approach to analyze data to solve business problems

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

Book Description

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.

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

Who this book is for

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.

Table of Contents

  1. What is Data Science?
  2. Good Data Science
  3. Strategic Data Science
  4. The Data-Driven Organization
PDF ISBN: 978-1-83898-550-9
Publisher: Packt Publishing Limited
Copyright owner: © 2019 Packt Publishing Limited
Publication date: 2019
Language: English
Pages: 104