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.
Denison University is lucky to be positioned so close to the Columbus metro area, a growing hub for technology and data analytics. On March 15, a sold out (450+ attendees) Women in Analytics conference (#WIA2018) featured female leaders in industrial and academic applications for data analytics. Best of all, the meeting was held at the Greater Columbus Convention Center, a short 30 minute drive from Denison.
I am currently teaching the DA 301 course, Practicum in Data Analytics, where junior-level students synthesize their data wrangling, analysis, and communication skills to tackle fuzzy, open-ended problems, with real clients and real data.
Oliver Gladfelter ’18 recently published a data-driven article about how we engage with political media online and how likely that media is to change our minds. Interestingly, he found that people are more or less equally likely to engage with political media regardless of their, or the videos’, political ideology. What did affect engagement was the videos’ perceived credibility. Everyone was more likely to engage with videos that they deemed the most credible, and the difference was more pronounced with older viewers than millennials.
My name is Mara Kilgore and I am a junior math major at Denison. For ten weeks this summer, I and Maddie Boster ’18 had the opportunity to work in the Advanced Analytics department of ICC Technology, a consulting firm in Westerville, Ohio. ICC is a company passionate about the development of technology to advance business intellect.
One highlight of my internship was the way I was able to engage with ICC employees and resources. Every morning, our office participated in an ICC tradition, the daily stand-up.
My name is Conor Loy ’20, a Denison Data Analytics major. I spent this past summer at Cambridge University in England doing data consulting for the Police Executive program at the Insitute of Criminology. I ended up meeting with 26 students at Cambridge, and am continuing to work on one project looking at the correlation between street checks and charges.
We worked on all kinds of police data sets. My main data set contains information about street checks and charges in western Canada.
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.