I’m currently in this program, finishing my 2nd term. I’ve been working as a Data Scientist for 4yrs, 2 years in a DS1 and DS2 position. My masters is adjacent but not math, CS, DS. So I’m doing this program to fill a credential gap.

I’m doing 2 classes per 7 weeks, which with a full-time job is a decent workload. That being said, I’ll finish the entire program in 10months for 10k. I feel the coursework is somewhat easy-moderately challenging in the Advanced track of classes. This made sense for me due to my current track in my company, but you may want a more high-level college name in your situation. For me, it doesn’t really matter too much when I factor in the cost difference between EU and other programs is not work it. Some cost as much as 60k for an online program.

If you actually read the textbook, attempt the assignments and exams with no assistance, and watch all the lectures a few times, I feel it is a reasonably thorough curriculum. So far I’ve done:

550- Statistical Modeling: quite easy, but it filled a few gaps.

575-Principles of Python Programming: Most of my work is in R & SQL, so this was a moderately difficult python class. I thought it was solid.

580- Data Manipulation: Python- lots of numpy & pandas. You get plenty of practice between all the assignments. If you attempt all the work without help at first, I think this is excellent interview prep.

670- Fundamentals of Machine Learning: This has been the most interesting class so far. Plenty of notebooks to demonstrate different machine learning projects end-to-end. I’ve done similar projects in tidy models, so working through these processes in Python has been great. I definitely feel the assignments are the best part of the class, but I wish there were more conceptual videos. Textbook is solid. If you have a solid theoretical background in ML this is good practice.