We have spent extensive time looking at the preliminaries of data science, including outlining the types of data and how to approach datasets depending on their type. This chapter will focus mostly on the third step of exploration. We will use the Python packages pandas
and matplotlib
to explore different datasets.
Principles of Data Science
Principles of Data Science
Overview of this book
Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you’ll feel confident about asking—and answering—complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.
With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you’ll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You’ll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.
Table of Contents (20 chapters)
Principles of Data Science
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
How to Sound Like a Data Scientist
Types of Data
The Five Steps of Data Science
Basic Mathematics
Impossible or Improbable – A Gentle Introduction to Probability
Advanced Probability
Basic Statistics
Advanced Statistics
Communicating Data
How to Tell If Your Toaster Is Learning – Machine Learning Essentials
Predictions Don't Grow on Trees – or Do They?
Beyond the Essentials
Case Studies
Index
Customer Reviews