Textbooks

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.

A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.

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.

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 official companion of Finding Hidden Messages in DNA, the popular first course in Coursera's Bioinformatics sequence. Learn how biologists have begun to decipher the strange and wonderful language of DNA without needing to put on a lab coat. This book contains the first two chapters from Volume 1 of Bioinformatics Algorithms: An Active Learning Approach.

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.

This book is about disrupting the status quo of all the governance crap you've seen, learnt and been told about before! I offer a refreshing, business focused view of what governance should really be about and how you can achieve governance to be proud of. You won't find platitudes or business-speak, just honest advice and guidance...

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.

Are you a Software Engineer or Developer who wants to know more about those pesky users; or how to decipher what that UX specialist is talking about? Do you need to get more involved in the development of the interface? If so, this high-level overview will help you get started and signpost you to more books, best practices, and standards.

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

Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

This book teaches you to use R to effectively visualize and explore complex datasets. Exploratory data analysis is a key part of the data science process because it allows you to sharpen your question and refine your modeling strategies. This book is based on the industry-leading Johns Hopkins Data Science Specialization.

This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever. The material for this book was developed as part of the industry-leading Johns Hopkins Data Science Specialization. Printed versions are available through Lulu (see link below).

A structured introduction to the foundations of civil, criminal, and business law. This book breaks down essential legal principles in a clear and accessible way, helping readers understand how the law functions in real-world situations. Designed for students and independent learners building their first strong foundation in law.