Should you improve your Hadoop skills or learn time series analytics?

Hosted by Professor Daniel Acuna

October 2017

Countless Data Science (DS) tools are touted as basic requirements for almost any organization. Ironically, these recommendations are too often based on opinion rather than data. In this talk, Prof. Acuna will showcase preliminary research on trying to understand past and future trends in DS by using DS itself—or DS of DS.

Prof. Acuna uses historical records of open DS tools together with their actual usage over time. With unsupervised and supervised analyses, his preliminary results suggest that tools around Hadoop, SQL, and MapReduce have been steadily declining over the years, whereas tools for time series analyses have become surprisingly popular.

Prof. Acuna will then discuss how this new way of looking at the DS tool market might improve training for aspiring Data Scientists.