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Useful Online University/College Courses Free (MIT, Yale, Imperial etc)
Updated September 9, 2015
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Useful Online University/College Courses Free (MIT, Yale, Imperial etc)
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#1 (permalink )
London, United Kingdom
Experience: Intermediate
Platform: N/A
Broker: Bloomberg
Trading: Energies
Posts: 310 since Jul 2014
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Hello,
I stumbled upon this site that gives you access to free online courses on a large variety of subjects from some of the best educational establishments. I thought it would be good to share as I have found a few good trading related courses that I am keen on taking, starting with one from Yale on Game Theory:
https://www.springboard.com/Open%20Yale/game-theory-6756/
Check out some of the courses, there is another on 'Behavioural Economics in Action' that I will check out too eventually.
PS I am in no way associated with nay of these sites or programmes, I just found it a great free resource, especially for those wanting to better understand the economics or psychology behind the markets.
Cheers,
Awls.
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#2 (permalink )
Buffalo, NY
Posts: 64 since Jul 2014
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Introduction to Data Science on coursera from University of Washington was incredible.
Markets with friction was interesting but i didn't finish it
https://www.coursera.org/course/marketswithfrictions
Introduction to political philosophy and the American Revolution are awesome Open Yale classes, great teachers.
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#3 (permalink )
Market Wizard
Tallinn, Estonia
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The Science of Everyday Thinking.
Learn how to think better, argue better, and choose better.
https://www.edx.org/course/science-everyday-thinking-uqx-think101x-1
Interesting, surprising, eyeopener, recommended to everybody.
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#4 (permalink )
London, United Kingdom
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Posts: 310 since Jul 2014
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I have enrolled in the October course - https://www.coursera.org/course/rprog
Quoting
About the Course
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.
I may try the 'Intro to Data Science' one after too. Looks interesting.
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#5 (permalink )
Kyoto, Japan
Experience: Intermediate
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Altucher did a podcast with Scott Young, who did all the coursework for an MIT computer science degree using their free online course offerings -- in about a year and a half and at a cost of about $2000.
https://investorhour.com/
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