Helping setup your new trainee’s computer environment, using print for the customary “Hello World!”, showing them some important key bindings and features in whatever IDE or editor you’ll be teaching in, and installing the language-specific packages that you will be introducing your trainee to. My anecdotal experience is not uncommon among aspiring Data Scientists and it’s an important perspective to keep in mind when training others.įor those who find themselves in a teaching or mentorship role for another individual, will almost assuredly experience some déjà vu, as they find themselves guiding their new trainee through the same steps, they once found difficult.

My background made the first step of setting up my computer environment for one of the two primary Data Science Programming languages (R or Python) appear daunting. If you’ve never heard of it, don’t feel bad – it’s almost exclusively used in higher educational or policy settings. For example, the primary tool we used in my program was Stata. My own educational background had no formal programming or computer science training instead my master’s degree is in applied economics, but don’t let the applied fool you, my program was more statistics/theory heavy than practical programming related. In Data Science the challenges can be magnified because many aspiring Data Scientists come from non-programming/non-computer science backgrounds.

Teaching a friend, co-worker, peer, or significant other a new programming language is always a challenging endeavor.

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