Join Robin Hunt for an in-depth discussion in this video The analyst role in data science, part of The Basics of Data for Analytics.
- Data Science is so broad in definition, even in 20 or 30 years it will probably be just as broad. That's because the tools and the software we use are constantly improving. I mean, we used to think of Big Data as terabytes. But now, that's a moving target as data grows to petabytes and even exabytes. In my opinion, some of the shortages we have today is because people are scared of the words "data" and "science." I want you to know that an analyst is a key feature to any data science team.
It's also important to note that you would likely be on a team made up of other Data analysts, Data miners, Statisticians and Researchers. Your role might just be bringing the data to the team, but could easily expand into doing initial analytics or visualizations. The data analysts and the data scientists may share some common skills, but in the data science team, you would hope that they would compliment each other, all of us having one unique goal in mind to improve outcomes based on the data that we analyze.