Steve Jones - SSC Editor - Tuesday, January 30, 2018 9:34 AM

GroverVivek - Thursday, January 25, 2018 6:45 PM

Thanks Gail. I agree with you. And will definitely follow this statement. The reason I bring up this point is that I am going to join a new organization next month. And there, I will get a chance to learn C#. But I was also excited about R/Python also. I have educated some guys on T-SQL skills in last few months. And most of them didn't have any knowledge about SQL before they started their one to one classes with me. And they were also learning python/R in parallel to get job as Data Scientists. So, I was under impression that where the area of learning is expanding itself. Is it really easy to learn SQL for 2-3 months and get a job as Data Scientists with good compensation?  Should I also start learning these languages also? And there are around 3 questions that I see in Question of the day are related to R language.

We are doing R questions once a week as they seem to be popular and they help me learn as well 😉

R and Python, really the Data Science and Machine Learning, interest is expanding because there is lots of publishing and writing about how companies are starting to use these technologies more. Whether this is useful and they will continue remains to be seen, but if you have an interest, learn them. Learning is good and keeps your brain fresh. It's a skill that you need.

I agree with Jeff that  becoming better at SQL is important. Much of the ML/AI stuff still involves moving data around, cleaning it, etc., and SQL does a great job of that, but if you want variety, and your company uses other languages, splitting your learning is fine.

There is no should. You must decide what you are interested in and what presents opportunities for  you