Hey all! I am in the MIT Great Learning Applied Data Science program and it is… underwhelming but a good foundation. I have a Masters in Public Policy and am super strong in stats (my capstone for MIT is ML and my capstone for my MPP was on crypto regulation). Any suggestions for self-learning sites after to help strengthen python skills? I LOVE Stata but I see mainly Python for DS roles. Thanks!

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Stata is a joke no one actually uses it except for a think tank or two in dc (chock full of academics). R is also very rare in the wild, mostly only the academic types and some quants who usually come from academia or PhD backgrounds. The best way to learn anything I’ve found is by doing, build a project! Make a web app that does a thing (bokeh in Python or shiny in R, although I hear less mention of shiny everyday). Post some stuff to tableau public! Realistically, unless you’re super hardcore, most the roles you find will sit closer to business intelligence which is pretty low difficulty the modeling side and data wrangling intensive, so up that skill set too! Best of luck

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Anything you’re interested in! Like I said I was doing quant finance so I made a shiny web app that would compute a valuation model and plot it historically against the stock price so see if it was over or under a fundamental valuation. Got me a job doing BI for PE firms. Just think what interests you and then build something and talk about it when interviewing

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Is the MIT GL ADS program taught in Stata?

Nope, python! My background in academia is where I used Stata

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