Which Data Science Technologies are Hot

Data science: Which technologies are hot (and which are not)?

While the demand for data science skills continues to rise, the specific skillsets around that demand has remained fairly consistent, according to a Jeff Hale analysis.

TL;DR: You can’t go wrong by learning Python.

Given how fast technologies in the data science space seem to rise and fall (remember Hadoop?), even over the course of a year we might expect to see more variance in technology preferences. Instead we find a (somewhat) remarkable stasis, one that continues to remind us: It’s never a bad time to learn Python.

Frank

#DataScientist, #DataEngineer, Blogger, Vlogger, Podcaster at http://DataDriven.tv . Back @Microsoft to help customers leverage #AI Opinions mine. #武當派 fan. I blog to help you become a better data scientist/ML engineer Opinions are mine. All mine.