Blog

When we were talking to working data scientists and data engineers here in Nashville about designing a data science program there were several things that people consistently identified as being important if we were going to familiarize students with what it is like to work in a real data analytics/data science job. One of the things we heard was that Data Science in the real world is messy because the real world is messy. Data in the real world is never clean and/or complete and/or consistent or any of the other things it needs to be for our modeling techniques or predictive techniques to work. Based on the input we received, we have designed into our curriculum and projects the idea that we need to teach the entire data science process, not just the fun/cool machine learning and statistical modeling pieces of the process. Read More