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.
I’m a huge fan of the Extension program. It enables access to great courses and if you do well and are in a degree program you can get special student status opening up the college and grad school class listings.
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!
Similarly structured course on data visualization w/ d3. covers the fundamentals of the art (mostly Tufte) alongside a pretty decent intro to using d3.
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.