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Useful Online University/College Courses Free (MIT, Yale, Imperial etc)


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Useful Online University/College Courses Free (MIT, Yale, Imperial etc)

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  #1 (permalink)
London, United Kingdom
 
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CobblersAwls's Avatar
 
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
 
 
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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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Market Wizard
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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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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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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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