Principles of Strategic Data Science: Creating value from data, big and small (English Edition)

Principles of Strategic Data Science: Creating value from data, big and small (English Edition)

作者
Dr Peter Prevos
语言
英语
出版社
Packt Publishing 版次:1
出版日期
2019年6月3日
纸书页数
106页
电子书格式
epub,pdf,mobi,azw3,txt,fb2,djvu
文件大小
4360 KB
下载次数
6829
更新日期
2023-05-20
运行环境
PC/Windows/Linux/Mac/IOS/iPhone/iPad/iBooks/Kindle/Android/安卓/平板
内容简介

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

Principles of Strategic Data Science is created to help you join the dots between mathematics, programming, and business analysis.

With a unique approach that bridges the gap between mathematics and computer science, this book takes you through the entire data science pipeline. The book begins by explaining what data science is and how organizations can use it to revolutionize the way they use their data. It then discusses the criteria for the soundness of data products and how to best visualize information. As you progress, you’ll discover the strategic aspects of data science by learning the five-phase framework that enables you to enhance the value you extract from data. The final chapter of the book discusses 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

Get familiar with the five most important steps of data science

Use the Conway diagram to visualize the technical skills of the data science team

Understand the limitations of data science from a mathematical and ethical perspective

Get a quick overview of machine learning

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 ideal for data scientists and data analysts who are looking for a practical guide to strategically and systematically use data. This book is also useful for those who want to understand in detail what is data science and how can an organization take the data-driven approach. Prior programming knowledge of Python and R is assumed. Table of Contents

What is Data Science?

Good Data Science

Strategic Data Science

The Data-Driven Organization

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