I was wondering what are your thoughts on the following. I am learning / doing data science / analytics / BI in my daily work. I’ve been in analytics for about 3-4 years. Before that, I was in operations (moving industry and sports industry).
As a person who has transitioned into data world from non-IT background, I often finnd myself at a disadvantage. From not knowing the best practices for coding (learning on the fly), to not knowing how relational databases work on DBA / engineer level, to not being able to communicate with my IT folks in the same language… I hope you get the idea. I am not a complete buffoon, but sometimes I wish I had lots of IT background…
I was wondering what do you think to what extend IT background is a must? Put another way, what are some of the most important concepts a data person should learn in CS (anywhere from nothing to “go get a Master degree in CS”). Proper coding? Got? Databases? And where to learn them?
Any data science folks with no CS background in da house?