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CS109 Data Science

by kercker on 5/6/18, 4:27 AM with 16 comments

  • by asafira on 5/6/18, 6:43 AM

    I disagree with others here --- I wasn't a huge fan of the class.

    If you took the class, you definitely had to get used to coding in python, and getting used to manipulating data in python.

    However, when it came time to do anything more interesting than plotting data, the course was very shallow --- many homework assignments boiled down to "fill in this space with a function that takes this as input and outputs that". While, again, that would totally be useful to someone learning basic scientific python, you don't get a good understanding of the statistics.

    As someone who already had a background in python, I didn't feel I learned as much.

  • by davidwihl on 5/6/18, 5:08 AM

    The latest material for Spring 2018 can be found at https://github.com/cs109/2018-cs109b

    I was a TF and gave a couple of lectures. AMA.

  • by makmanalp on 5/6/18, 5:04 AM

    I took this class last year (some variations, less material covered more deeply) and it was a great survey course for someone who had programming experience but was lacking in stats and ML background!

  • by dang on 5/6/18, 5:52 AM

  • by bmpafa on 5/6/18, 2:12 PM

    Similarly structured course on data visualization w/ d3. covers the fundamentals of the art (mostly Tufte) alongside a pretty decent intro to using d3.

    http://www.cs171.org/2017/index.html

  • by solomatov on 5/6/18, 5:36 AM

    I took this class in 2015, it's a great class. Unfortunately, the material from the course are several years old and they stopped updating it.