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  1. OpenIntro Statistics
    Includes 1st, 2nd, 3rd, and 4th Editions
    OpenIntro, Christopher Barr, Mine Cetinkaya-Rundel, and David Diez

    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.

  2. 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.

  3. Modern IT Automation with PowerShell
    Modern Automation with PowerShell
    The DevOps Collective, Inc. and Michael Zanatta

    A PowerShell Textbook written by the community for the community!

  4. Thinking with Types
    Type-Level Programming in Haskell
    Sandy Maguire

    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.

  5. 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.

  6. The Art of Data Science
    A Guide for Anyone Who Works with Data
    Roger D. Peng and Elizabeth Matsui

    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.

  7. 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).

  8. Data Analysis for the Life Sciences
    Rafael A Irizarry and Michael I Love

    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.

  9. Coffee Roasting Made Simple
    A Guide Through Philosophy, Principles, Recipes, Profiling, Sample Roasting & Everything in Between
    Raimond Feil

    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.

  10. Methods in Biostatistics with R
    A Rigorous and Practical Treatment of Biostatistics Foundations using R
    Brian Caffo, John Muschelli, and Ciprian Crainiceanu

    The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.

  11. Methods in Biostatistics with R
    A Rigorous and Practical Treatment of Biostatistics Foundations using R
    Brian Caffo, John Muschelli, and Ciprian Crainiceanu

    The book provides a modern look at introductory Biostatistical concepts and the associated computational tools using the latest developments in computation and visualization in the R language environment. The book includes practical data analysis based on datasets that can be downloaded here: https://github.com/muschellij2/biostatmethods.

  12. Statistical inference for data science
    A companion to the Coursera Statistical Inference Course
    Brian Caffo

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

  13. Windows 11 Field Guide
    24H2 Edition
    Rafael Rivera and Paul Thurrott

    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.

  14. Practical CodeIgniter 3
    From the trenches advice and techniques for making the most out of CodeIgniter.
    Lonnie Ezell

    Practical CodeIgniter 3 is a concise to get up to speed using the CodeIgniter 3 PHP framework. You'll learn how the pieces fit together, what goes where, and how to extend the framework to make it work for your application or company. You'll see practical solutions to common questions on topics like theming, models, testing, and using Composer.

  15. The Generative AI Professional Guide
    Beyond the Prompt For Everyone
    George Tome

    Experience the fundamentals behind the magic of Generative AI then practice them with videos, interactive labs, exercises, flashcards, and an exam app to build outputs you can trust.