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For Instructors

Adopt a free, open-access textbook for your course. Every DataField.Dev textbook is available at no cost to your students — no access codes, no paywalls, no expiring licenses. Just share the URL and your students are ready to learn.

Zero cost to students — save your class hundreds of dollars per semester
CC BY-NC-SA 4.0 — open license lets you share, adapt, and remix
No access codes — no publisher portals or expiring digital keys
Always up-to-date — content is revised continuously, never goes out of print
52
Textbooks
14378
Pages
Free
Always
None
Access Codes

How to Adopt a Textbook

Adopting a DataField.Dev textbook for your course takes just a few minutes. Here's how:

  1. Review the textbook Browse the full textbook online to confirm it aligns with your course objectives and covers the topics you need. Every chapter, exercise, and code example is freely accessible.
  2. Share the URL with your students Add the textbook link to your syllabus or LMS (Canvas, Blackboard, Moodle, etc.). Students can access it instantly from any device — no account or download required.
  3. Integrate into your syllabus Assign specific chapters for weekly readings, reference exercises for homework, and point students to code examples for lab work. The table of contents makes it easy to map chapters to your schedule.
  4. Provide feedback Help us improve! If you spot an error, want additional coverage on a topic, or have suggestions, reach out via email or open a GitHub issue. Instructor feedback directly shapes future revisions.

Available Textbooks

Browse our full catalog. Each textbook is comprehensive, peer-informed, and ready for course adoption.

Advanced COBOL 305 pages · Computer Science — Programming Languages Advanced Data Science 299 pages · Computer Science — Data Science AI Ethics 304 pages · Computer Science — Ethics & Society AI Literacy 40 pages · Computer Science — Artificial Intelligence AI & ML for Business 304 pages · Business — Artificial Intelligence & Analytics AI Engineering 307 pages · Computer Science — Artificial Intelligence Algorithmic Addiction 303 pages · Social Science — Psychology & Media Studies Applied Psychology 303 pages · Social Science — Psychology Assembly Language 299 pages · Computer Science — Computer Architecture Blockchain & Crypto 295 pages · Computer Science — Distributed Systems & Cryptography College Football Analytics 213 pages · Mathematics — Statistics & Data Science Creator Economy 318 pages · Business — Digital Entrepreneurship Pattern Recognition 322 pages · Science — Interdisciplinary Studies Data & Society 305 pages · Social Science — Data Ethics & Society Data Viz with Python 275 pages · Computer Science — Data Science & Visualization Ethical Hacking 318 pages · Computer Science — Cybersecurity Fandom 332 pages · Social Science — Cultural Studies History of Appalachia 324 pages · Social Science — History & Regional Studies How Humans Get Stuck 291 pages · Social Science — Psychology & Cognitive Science Handling Confrontation 306 pages · Social Science — Communication & Psychology How to Learn Anything 298 pages · Social Science — Education & Learning Science How Your House Works 306 pages · Science — Home Science & Engineering IBM DB2 282 pages · Computer Science — Database Systems Intermediate COBOL 339 pages · Computer Science — Programming Languages Intermediate Data Science 278 pages · Computer Science — Data Science Intro CS Python 44 pages · Computer Science — Programming Intro to Data Science 266 pages · Computer Science — Data Science Introductory Economics 74 pages · Business — Economics Introductory Statistics 216 pages · Mathematics — Statistics Learning COBOL 322 pages · Computer Science — Programming Languages Prediction Markets 316 pages · Business — Finance & Economics Metacognition 222 pages · Social Science — Education & Learning Science Media Literacy 314 pages · Social Science — Media & Information Literacy NFL Analytics 182 pages · Mathematics — Statistics & Data Science Nuclear Physics 59 pages · Science — Physics Pascal Programming 304 pages · Computer Science — Programming Languages Physics of Music 316 pages · Science — Physics & Music Political Analytics 324 pages · Social Science — Political Science & Data Popular Psychology 305 pages · Social Science — Psychology Basketball Analytics 214 pages · Mathematics — Statistics & Data Science Soccer Analytics 230 pages · Mathematics — Statistics & Data Science Propaganda 304 pages · Social Science — Media & Communication Python for Business 298 pages · Computer Science — Programming Quantum Mechanics 303 pages · Science — Physics RegTech 307 pages · Business — Finance & Technology Science of Seduction 320 pages · Social Science — Psychology & Behavioral Science Sports Betting 322 pages · Mathematics — Probability & Statistics Architecture of Surveillance 304 pages · Social Science — Surveillance & Privacy Science of Luck 306 pages · Social Science — Behavioral Science & Statistics Vibe Coding 316 pages · Computer Science — Software Engineering Why They Watch 308 pages · Social Science — Media Studies & Psychology Working with AI 316 pages · Computer Science — Applied Technology

Licensing

All DataField.Dev textbooks are published under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license. This means you are free to:

As long as you give appropriate credit and distribute any adapted works under the same license. See the full CC BY-NC-SA 4.0 license text for details.

Contact & Feedback

We value instructor feedback and are happy to answer questions about adoption, content coverage, or planned updates.

Email: contact@datafield.dev

GitHub Issues: Report errors, request topics, or suggest improvements via our GitHub repositories.

We typically respond within 1–2 business days.