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Pocket Primer

Data Science Fundamentals Pocket Primer

Frontmatter

Contents

Preface

Chapter 1. Working With Data

Chapter 2. Intro to Probability and Statistics

Chapter 3. Linear Algebra Concepts

Chapter 4. Introduction to Python

Chapter 5. Introduction to NumPy

Chapter 6. Introduction to Pandas

Chapter 7. Introduction to R

Chapter 8. Regular Expressions

Chapter 9. SQL and NoSQL

Chapter 10. Data Visualization

Index

DSFcompanion.zip

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions. The book includes numerous code samples using Python, NumPy, R, SQL, NoSQL, and Pandas. Companion files with source code and color figures are available.

As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to the basic concepts of data science using Python 3...

Format

Data Science Fundamentals Pocket Primer

Oswald Campesato

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