Data Science - Live for the Learning Curve

I started doing data science in 1994. The tools I've used, in no particular order, are

 VSAM, JCL, SAS, SQL, PL/SQL, T-SQL, c-shell, Perl, R, Python, Java, Visual Basic, Tableau, Excel, flat files, Hadoop, HBase, Pig, Hive, DecisionSeries, AdminPortal

 That's a neat 21 tools in 21 years, and actually they are kind of obsolete already. There's a whole new data science paradigm starting of companies selling algorithms as APIs: send your data off in a web call, get a score back. Algorithms As A Service. Microsoft and Algorithmia come to mind.

 Whatever you're using now, wait a year: you'll have something new in your toolkit. If you're just getting through a data science course with R, Python, and Hadoop; well, that should keep you a couple of years.

 Live for the learning curve.