The results of KDNuggets’ 18th annual Software Poll should be fascinating reading for anyone involved in data science and analytics.  Some highlights – Python (52.6%) finally overtook R (52.1%), SQL remained at about 35%, and Spark and Tensorflow have increased to above 20%.

(Graph taken from http://www.kdnuggets.com/2017/05/poll-analytics-data-science-machine-learning-software-leaders.html/2)

I am about halfway through Northwestern University’s Master of Science in Predictive Analytics (MSPA) program.  I am very thankful that the program has made learning different languages a priority.  I have already learned Python, Jupyter Notebooks, R, SQL, some NoSQL (MongoDB), and SAS.  In my current class in Generalized Linear Models, I have also started to learn Angoss, SAS Enterprise Miner, and Microsoft Azure machine learning.  However, it looks like you can’t ever stop learning new things – and I am going to have to learn Spark and Tensorflow – to name a few more.

I highly recommend you read this article.