I worked with, and analyzed data for years before I stumbled on SQL and python.
This taught me a framework of questioning that helped me navigate the steps I took with data.
– what were the sources I was pulling the data from
– what format was I pulling the data in
– how could I combine different data types
– what was the outcome I was aiming to accomplish
– did I have the right data
– did I have enough data
– would I need additional sources of data
– what was the quality of the data I was pulling
– was it even feasible to accomplish the aim with the data I had
– what kinds of visualization would I be able to do with the data
– would my analysis make an impact, and what kind of impact
– what questions would arise from showcasing the result
… the list goes on…
I learned a lot about data literacy because I wasn’t focused on the technical aspects, but rather built more of an analytical mindset.
In past experiences there are always trade-offs. What kinds of trade-offs do you have in your past experiences?
What I am aiming for now, is to be more well rounded and level up both my technical skills and my business acumen.
Check out what others may have said about this subject on Linkedin.