Statistics and Data Visualisation with Python

Statistics and Data Visualisation with Python is a book that aims to bridge the gap between statistics and data science and analytics by providing a refresher for those with prior statistical knowledge and a foundation for those new to the field.

Format: Paperback / softback
Length: 516 pages
Publication date: 21 January 2023
Publisher: Taylor & Francis Ltd

This book is a comprehensive guide to statistics and data visualization with Python, designed to serve as a bridge for graduates and business practitioners interested in leveraging their skills in data science and analytics, as well as statistical analysis in general. It caters to readers with varying levels of statistical expertise, offering a refresher for those who have taken courses in statistics but may not have applied them in their daily work. Additionally, it serves as an excellent introduction to statistical work in Python for those who are new to the field.

Statistics and Data Visualization with Python is meticulously crafted to build statistical knowledge from the very foundations. By delving into the principles of inferential statistics and guiding the reader in formulating hypotheses that serve as the cornerstone for applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning, this book aims to impart a deep understanding of statistical concepts.

The book begins by introducing the basics of programming in Python and data analysis, providing a solid foundation for subsequent chapters. This comprehensive approach ensures that readers have the necessary skills to apply statistical methods and hypothesis testing effectively in various modern applications.

Throughout the book, real-world examples and case studies are employed to illustrate the practical applications of statistical concepts. These examples help to reinforce the theoretical understanding and make the material more relatable and accessible to a wide range of readers.

In addition to its theoretical aspects, Statistics and Data Visualization with Python emphasizes the importance of data visualization in understanding and interpreting statistical results. The book provides comprehensive guidance on using Python's powerful data visualization libraries, such as Matplotlib and Seaborn, to create visually appealing and informative plots and charts.

Whether you are a graduate student seeking to expand your statistical knowledge or a business practitioner looking to integrate statistical analysis into your work, this book is an invaluable resource. It offers a comprehensive and practical approach to statistics and data visualization, equipping readers with the skills and knowledge needed to succeed in today's data-driven world.

So, if you are ready to embark on a journey of statistical discovery and unlock the power of data visualization with Python, this book is the perfect guide for you.

Dimension: 235 x 191 (mm)
ISBN-13: 9780367744519