UC Berkeley Data Science

As I said I've been I've tried 3 times to learn python non of them was effective for me, but this one is to best choice I have ever made, the description were clear, the problems were ideal for the class. And most importantly it introduces the uses of... Read More python program, which is one thing that I loved most.
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Full disclaimer: I have not yet completed the program, so the 5-star rating is subject to change, but here is my review, cross-posted from Chris Walker's answer to What is it like to go through UC Berkeley's new Data Science MS program?

I entered the MIDS... Read More program back in January as part of the first cohort for the degree. So far, the experience has been fantastic. The curriculum has been challenging and well-planned, each term building nicely on the last. The coursework touches on a broad variety of topics, but does well at promoting a deep, nuanced understanding of the most important topics. Faculty have been responsive, knowledgable, and experienced in their fields. The student support team has also been nothing short of amazing.

I've learned a great deal about programming and statistics as they relate to data science, but there is also a great deal of time and thought devoted to issues of biases, policy, user/data consumer experience, and the role of the data scientist within their organization and society at large. In my opinion, this is the greatest strength of the program - pushing beyond the technical aspects to develop strong intuition and conscientious, ethical approaches to DS problems.

Where the technology is concerned, I've been exposed to a wide variety of tools, some of which I had little or no previous experience with: R, Python, scikit-learn, Tableau, D3, Pig, AWS, Solr, and a number of APIs and public data sources.

A typical week consists of about 60-90 minutes of video material per class, supporting readings and assignments, and a live 90 minute web conference class session. I work full time while also pursuing the degree, thanks in no small part to my wife's and employer's patience with my schedule. Doing both is a challenge, but is definitely possible. I'd certainly recommend the program to anyone interested in pursuing a career in data science. I know that some of my classmates have already taken jobs in the field.