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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
33
Textbooks
9351
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.

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 College Football Analytics 213 pages · Mathematics — Statistics & Data Science Creator Economy 318 pages · Business — Digital Entrepreneurship Data & Society 305 pages · Social Science — Data Ethics & Society Ethical Hacking 318 pages · Computer Science — Cybersecurity Fandom 332 pages · Social Science — Cultural Studies Handling Confrontation 306 pages · Social Science — Communication & Psychology How Your House Works 306 pages · Science — Home Science & Engineering Intermediate COBOL 334 pages · Computer Science — Programming Languages Intro CS Python 44 pages · Computer Science — Programming Learning COBOL 322 pages · Computer Science — Programming Languages Prediction Markets 316 pages · Business — Finance & Economics Media Literacy 314 pages · Social Science — Media & Information Literacy NFL Analytics 182 pages · Mathematics — Statistics & Data Science Physics of Music 316 pages · Science — Physics & Music Political Analytics 324 pages · Social Science — Political Science & Data 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 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 299 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.