Programming experience for MFE

[secretrevaler]

Hey everyone,
I am currently an undergraduate student and I want to fulfill the programming requirement for the MFE either through online courses. I plan on taking the Baruch's C++ for financial engineering course soon and I also want to take courses in python and machine learning. Specifically for the latter, are there any well-reputed online courses that are viewed highly by universities? If not, should I just take courses offered by my university in data structures and algorithms and machine learning?

 

[MikeLawrence]

Don't know of any online courses for those that stand up to Baruch's course.

datasim.nl (same creator of Baruch's course) has an applied numerical methods course which I plan to take soon.
There is one in python, though I plan to do the C++ one, but it isn't strictly machine learning so this doesn't really answer your question. It will end at a place where you start to get into Machine learning type things and can actually understand what is going on.

In short, no. In slightly more words: there are things you should do before you really start worrying about machine learning concepts if you want a thorough understanding.

 

[Daniel Duffy]

And who knows what ML will look in 5 years time?

 

[secretrevaler]

Yea, my intentions with taking machine learning courses offered by my university/online is to simply understand the very basics of it. But there is a tradeoff to taking computer science courses and that would be missing out on taking stat courses involving time series analysis and regression. I am just wondering what your thoughts are on how I should proceed. I am definitely fine with doing either option since they both involve roughly the same amount of workload.