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Ranked as the 7th best college in the world in 2021 by US News, The California Institute of Tech is a renowned science and engineering research institution, boasting 32 Nobel prize winners. It also manages several astronomical observatories and research labs, including the Jet Propulsion Laboratory for NASA.
Like many top colleges, CalTech offers some of its courses for free through e-learning edX and Coursera, joining prestigious universities like MIT, Harvard, Princeton, Yale, UPenn, Columbia, and Cornell, among many others.
Free Harvard classes
Free MIT classes
Free Princeton classes
Free Yale classes
Free UPenn classes
Free Columbia classes
Free Cornell classes
CalTech’s online offerings span topics from astronomy and machine learning to economics and quantum theory, some of them requiring undergraduate knowledge in math or science.
This in-depth, intro astronomy course explores what we know about the universe so far, including planetary systems, stars, galaxies, black holes, quasars, and larger structures.
Using undergraduate-level mathematical and science principles, this course aims to explore aspects of the solar system such as the latest Mars news, the outer solar system, and even the potential of extraterrestrial life.
Ideal for students with some programming experience and knowledge of Basic probability, matrices, and calculus, this course covers the theory, algorithms and applications of machine learning.
For those with a basic understanding of calculus, this course shows you how to apply quantitative models to economic principles to solve real-world problems, such as predicting changes in market prices or the values of new products.
For those with working knowledge of calculus, statistics and probability, this course teaches students how to use mathematical modeling for pricing financial derivatives and managing risk in financial markets.
Best for those with at least college-freshman-level math, physics, and biochemistry knowledge, this course teaches you the basics of cryo-electron microscopy (cryo-EM) including the anatomy of electron microscopes and the fundamentals of Fourier transforms and image formation.
For students with undergraduate knowledge of linear algebra, probability, statistics, and basic quantum theory, this course covers quantum effects, such as quantum entanglement, to implement security within cryptographic tasks.
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