We have listed some free university courses for your use. They are free to use. Free university courses was written by knowledgeable scholars, university lecturers and experts in their various fields of studies.
They are arranged in no particular order
Anatomy and Physiology – Edited by various profs at OpenStax
CK-12 Biology I (Grades 9-12) edited by Douglas Wilkin, Chair, Dept of Science, Los Angeles Unified School District.
Concepts of Biology – Edited by various profs at OpenStax
Business And Management
Business Ethics by Jose A. Cruz-Cruz, William Frey, University of Puerto Rico – Mayaguez
Business Fundamentals by the Global Text Project
Core Concepts of Marketing by John Burnett
CREATE OR PERISH: The Case for Inventions and Patents by Robert Rines, MIT
Electronic Commerce by Multiple authors, University of Georgia, Bentley College, and Simon Fraser University
Guidelines for Improving the Effectiveness of Boards of Directors of Nonprofit Organizations by Vic Murray and Yvonne Harrison, SUNY, Albany
Concept Development Studies in Chemistry by John S. Hutchinson, Rice University
Organic Chemistry (with a Biological Emphasis) by Tim Soderberg, University of Minnesota, Morris
Periodic Table of Elements by Libretexts.org
Acid-Base Indicators by Libretexts.org
Atomic and Molecular Properties by Libretexts.org
Equilibrium Constants by Libretexts.org
Introductory Chemistry (CK-12)
Introductory Chemistry Online! (by Young)
Computer Science & Information Systems
A First Course in Electrical and Computer Engineering by Louis Scharf, Colorado State
Artificial Intelligence: Foundations of Computational Agents by David Poole and Alan Mackworth, University of British Columbia.
Bits, Signals, and Packets: An Introduction to Digital Communications and Networks by Hari Balakrishnan, Christopher Terman, and George Verghese, MIT.
Foundations of Computer Science by Al Aho (Columbia) and Jeff Ullman (Stanford)
High Performance Computing by Charles Severance, University of Michigan
How to Think Like a Computer Scientist: Python by Allen B. Downey, Olin College.
How to Think Like a Computer Scientist: Learning with Python 3 by Peter Wentworth, Jeffrey Elkner, Allen B. Downey, and Chris Meyers.
Information Technology and the Networked Economy by Patrick McKeown, University of Georgia
Neural Networks and Deep Learning, by Michael Nielsen, Research Fellow at the Recurse Center
Philosophy of Computer Science by William J. Rapaport, University at Buffalo, The State University of New York
Principles of Computer System Design: An Introduction (Part II) by Jerome Saltzer and M. Frans Kaashoek.
Programming Languages: Application and Interpretation by Dr. Shriram Krishnamurthi, Brown University
Python for Informatics: Exploring Information by Charles Severance, University of Michigan
Structure and Interpretation of Computer Programs by Jerry Sussman & Julie Sussman
Economics And Finance
Principles of Microeconomics for AP® Courses 2e by profs at Openstax
Electromagnetics and Applications by David Staelin, MIT
Electromechanical Dynamics by Herbert H. Woodson and James R. Melcher, MIT
Fundamentals of Electrical Engineering I by Don Johnson, Rice
Introduction to Nanoelectronics by Marc Baldo, MIT
Introduction to Physical Electronics by William Wilson, Rice University
Operational Amplifiers: Theory and Practice by James K. Roberge, MIT
Signals, Systems and Inference by MIT
Signals and Systems, by Alan Oppenheim and Alan Willsky, MIT
The Art of Insight in Science and Engineering: Mastering Complexity, by Prof. Sanjoy Mahaja
Chlorosilane Chemistry by Larry Coleman
Phase Relations in Reservoir Engineering (Adewumi)
Fluid Mechanics (Bar-Meir)
Distillation Science (Coleman)
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