Currently I am reading r4ds, elements of statistical learning, and miscellaneous papers. I was wondering if there should be any other dimension that I should add to my learning process in order to go from 0 to hero in data science and/or ML.

other than retire

I'm curious about the problem-solving process you go through when investigating a data science problem; that is, how you applied the algorithms and gained insight from the data. Could you list some specific data science problems are briefly explain how you visualized the data and tweaked your model to improve performance? You could also include major obstacles and how you overcame them. Thanks.

Did you reach out to a lot of professors and what did they look for?

Sorry for the open-ended question, there's a lot that I don't understand. Anyway, so I've taken some classes in math, stats, cs, so I know what the concepts are but I'm not sure how to apply it.

What do you think is the best way to get started in order to get in to this field?
What would you say are the essentials everyone needs in this field?

I was just wondering what kind of previous experience you had at the time you got your first data science related co-op job? What do you think would be a good level to reach skill-wise before trying for data science positions?

Hello, I recently chose to make the switch from Web Development to Data Science. I was wondering what 2-4 courses or books I should complete in 3 months to give myself a good chance at landing a Data Science/MLE internship? I have a lot of experience in Python already, however am new to everything else.

I want to get a handle on basic data analysis. Since I'm studying at UW, I decided that I might as well take 2-3 STAT courses to that end, as long as UW has the right courses.

I took a look at your transcript and that stat courses at UW and decided that these two would be good:

• STAT 331
• STAT 341

You said that STAT 331 is useful, but STAT 341 is more theoretical (i.e. isn't used much for practical data analysis).

So my question is: what useful STAT courses are there at Waterloo other than stat 341?