Nowadays anyone who knows little bit of R, phyton, regression and looker called themselves data scientist. A good one is way more than that and takes years of research and technical expertise. Forget about local masters and if you really want a masters, I suggest to take the GA tech masters online. Cheap and reputable but please note the real learnings can only be gotten by getting your hands dirty; join kaggle, read and contribute

As mentioned by others, DS is fancy and trendy now just like web developer during the dotcom boom and now being replaced by the likes of wix etc. I believe the same will happen to DS as big tech companies are trying to democratise ds and promote citizen data scientist by creating more and advanced cognitive services through their cloud ecosystem. Unless you want to wish for tech companies, most likely what you’ll need in the future is to know how to integrate different services and bring the code to production. What still remains in the entire process is the data engineering work because as fancy as the ds algorithm, a small fked up in the data pipelines or master data your model is not reliable anymore so I always emphasis the importance of good data management. Not fancy, not dealing directly with users or customers but everyone just needs

Nevertheless, there is always someone who excels in everything they do and if you’re one of them, DS can be very lucrative because everyone wants one even if they don’t know what to do with it. Good luck !!

This post has been edited by Vinci777: Nov 16 2020, 08:09 AM