“The thing that I would say is, “be flexible.” There are appropriate times to be looking at enterprise-level SAS, and there are other times to be looking at something you can hack in Python or do a quick analysis in R. The tools and technologies all have their strengths and weaknesses. The biggest thing is you must “stick” fundamentals before going forward, rather than just concentrating on a fixed tool. I believe you need to get the fundamentals down first. So learn the basic statistics, understand how basic programming works, get that stuff done, then look to specialize, whether that be in network analysis or visualizations or information systems.” Michael Cavaretta ( August 21, 2014 )