DA 350 Labs Tackle Real Life Data Problems

The mathematical methods used in Data Analytics are constantly evolving.  Traditional methods learned in introductory statistics courses such as hypothesis testing and linear regression were designed before the era of computers and could be calculated by hand on small data sets.  With the rise of massive computational power, new methods are constantly being developed that give better predictions and lead to better decisions across many domains.  In DA 350, Advanced Methods for Data Analytics, students explore some of these modern methods and use them to solve a wide variety of practical problems with real life data sets. 

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