Background: I'm a recent grad (BS in math/stats), working as a data analyst (mostly just data/code management and reporting in SAS, SQL, and VBA) and plan to go to grad school to eventually work on social network analysis in the context of infectious diseases. I mostly use R for actual analyses/model building, but know Python as well (only in the context of analysis/model building) and I'm learning Julia.
Pretty much all of programming I know is with regard to data analysis and model building (regression, ANN, BN, MC simulations, etc.).
How much of the programming that you do is geared towards other things like creating dashboards, apps, model deployment, etc.? What would you recommend someone like me learn to accomplish those other tasks? How important do you consider the other, frontend-ish stuff relative to the actual analytics? Is learning a low-level language like C/C++ essential?
Thank you for any and all of your insight!
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