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.
Welcome and thanks for visiting! As my colleagues will attest, I have been meaning to start this blog for some time because I think that we’re doing some pretty exciting stuff here in Data Analytics at Denison (#DAatDU) that is worth sharing. We hope to convey some of this excitement and chronicle the development of a truly unique interdisciplinary program that is growing faster than we could have imagined. Posts will be periodically written by any number of faculty and students associated with the program on any number of topics. We hope you find them interesting, and always welcome your comments and questions.