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April 19, 2016 · Read 6 min
Note: If you are looking for an online data science curriculum that follows, the following items contains the most recent recommendations.
I fell out of a top computer science program to teach me the data science with online resources such as Udacity, EDX and Cursersa. The decision was not difficult. I could learn the content that I wanted to learn more faster, more efficiently and for a fraction of the costs. I already had a university degree and maybe even more important, I already had the university experience. Payment of $ 30K + to go back to school seemed irresponsible.
Here are my curriculum decisions and the rational behind them. Thousands of course reviews and ratings of class Central, I have selected the best computer science, data science and machine learning courses from world-class institutions such as Harvard, Stanford, with, Berkeley, Google and Facebook. All detailed reviews for most of these courses can be found here on a medium or on my personal website - englishessayhelp.com.
My curriculum covers both Python and R , making the two most popular programming languages ??for data science.
Note: I stopped my progress in this program in May 2017 because I've joined udacity as content developer . Another benefit of personalized online education - flexibility!
I wanted a solid computer science foundation before I started to learn the data science. My technical background began a lead at mathematics and statistics. These three courses conclude that I have completed a standard computer science curriculum in the first year, as well as the full mathematical and statistical core.
The following courses from my Undergrade Chemical Engineering program are also core computer courses:
listed below are the individual courses contained in the nanodoge. The estimated timeline for the degree is 378 hours.
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