Data Science in Practice

Everything about the Book

The Book

Please order the book on the publisher’s page. On this page, you will find more information about the book. Description of the book from the publisher’s website:

Data Science in Practice is the ideal introduction to data science. With or without math skills, here, you get the all-round view that you need for your projects. This book describes how to properly question data, in order to unearth the treasure that data can be. You will get to know the relevant analysis methods, and will be introduced to the programming language R, which is ideally suited for data analysis. Associated tools like notebooks that make data science programming easily accessible are included in this introduction. Because technology alone is not enough, this book also deals with problems in project implementation, illuminates various fields of application, and does not forget to address ethical aspects. Data Science in Practice includes many examples, notes on errors, decision-making aids, and other practical tips. This book is ideal as a complementary text for university students, and is a useful learning tool for those moving into more data-related roles.

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  1. Introduction
  2. Machine Learning, Data Science, and Artificial Intelligence
  1. Data Science Projects
  1. Introduction to R
  1. Explorative Data Analysis
  1. Predictions
  • no links
  1. Clustering
  1. Classification
  1. Other Applications
  1. After the model
  1. Data Protection
  1. After this book
  1. Appendix
  • Typical Error Messages
  • Glossary