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Data Literacy with Python

Frontmatter

Contents

Preface

Chapter 1: Working With Data

Chapter 2: Outlier and Anomaly Detection

Chapter 3: Cleaning Datasets

Chapter 4: Introduction to Statistics

Chapter 5: Matplotlib and Seaborn

Appendix A: Introduction to Python

Appendix B: Introduction to Pandas

Index

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modern industries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on.

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With...

Format

Data Literacy with Python

OSWALD CAMPESATO

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