Books

A complete foundation for Statistics, also serving as a foundation for Data Science. Leanpub revenue supports OpenIntro (US-based nonprofit) so we can provide free desk copies to teachers interested in using OpenIntro Statistics in the classroom and expand the project to support free textbooks in other subjects. More resources: openintro.org.

Longitudinal Data Analysis Using R is a practical, end-to-end guide to longitudinal data analysis that helps you move from raw data to credible substantive conclusions. It tackles the real pain points researchers face in longitudinal analysis, such as data preparation, exploring change over time, model choice, missing data, and interpretation, using clear explanations, real-world data, and fully reproducible R code.

This book brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this book will lay the foundation for you to begin your journey learning data science. Printed copies of this book are available through Lulu.

The Windows 11 Field Guide is a full-length e-book about the latest version of Microsoft Windows, aimed at those users who will upgrade from Windows 10 or acquire Windows 11 with a new PC.

This is the story of Microsoft Windows, but told in a different way and from a different perspective. It is the story of the aspirations that Microsoft had for the platform over time. Object-Oriented Programming in the era of “Cairo.” The brief moment when the .NET craze engulfed the company. The touch-first mania of Windows 8. And so much more.

Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theory as it becomes necessary to solve specific challenges. The book includes links to computer code that readers can use to follow along as they program.

IT'S A HIGHWAY TO A BETTER COFFEE AND ROASTING! It's filled with practical advice of 12 years roasting experience that's made simple to accelerate your learning in coffee roasting.

This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science. Printed copies are available through Lulu.

This book is written to simplify statistics to those who used to struggle with it. This book is written in a simplified way that is suitable for absolute beginners who wish to learn medical statistics.It is practice oriented with many tips and instructions that make the statistical analysis easier.

A book to teach yourself the Forth programming language while coding a little game.

This book aims to be the comprehensive manual for type-level programming. It's about getting you from here to there---from a competent Haskell programmer to one who convinces the compiler to do their work for them.

A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

A primer for finding your learning blind spots and questioning your assumptions about how learning works. By the end of this short book, you will have transformed the ways you perceive the possibilities and process of learning.

This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.