"The American Statistical Association (ASA) DataFest is a celebration of data in which teams of undergraduates work around the clock to find and share meaning in a large, rich, and complex data set. ... A key feature of ASA DataFest is that it brings together the data science community. Undergraduate students do the work, but they are assisted by roving consultants who are graduate students, faculty, and industry professionals."[Show Full Profile]
Initiated by President Roth and currently led by Prof. Gary Shaw (HIST) the Digital and Computational Knowledge Initiative(DaCKI) brings together people interested in exploring the impact of "big data" and digital and computational technologies on scholarship and the liberal arts curriculum.[Show Full Profile]
There are “number” people, and there are “word” people. Left brains, and right brains. “Quants” and English majors. Or so most of us believe, and Lisa Dierker was no different when she entered Ohio State University in 1986, a first-generation college student paying her own way through school.[Show Full Profile]
With 13,000 students enrolled, the new Passion Driven Statistics MOOC (massive open online course) is exploring a new educative frontier. Dr. Lisa Dierker is taking her hands-on statistics program to the web. She has created a 6-week statistics course through Coursera, teaching SAS to pupils of all ages and backgrounds. This passion-driven statistics course is setting new standards for online courses.[Show Full Profile]
Take hands-on courses ranging from applied data analysis, model building, statistical consulting, computer science, individual tutorials and more.[Show Full Profile]
The summer apprenticeship program has 3 objectives: A) to provide additional experiential learning opportunities for students by engaging them in active research projects; B) to support faculty research by training and supporting student research assistants; C) to develop and identify students that can serve as tutors during the academic year.[Show Full Profile]
The Quantitative Analysis Center (QAC) is a collaborative effort of academic and administrative departments. It coordinates support for quantitative analysis across the curriculum, and provides an institutional framework for collaboration across departments and disciplines in the area of data analysis. Learn about and explore our core initiatives below.