Ohio State offers online Certification in Practice of Data Analytics

New to Ohio State this semester is an online Certification in Practice of Data Analytics. Taught by statistics and engineering faculty, the four-course program helps working professionals develop knowledge and skills that support the management and use of big data. Students in the program learn to collect, clean, model, and report data; build data products; and analyze data to support informed decision-making.

“Data analytics is increasingly essential to every industry in one form or another,” says TDA Interim Faculty Director Raghu Machiraju, PhD, professor of computer science and engineering and biomedical informatics. “The online CPDA will allow professionals working in healthcare, retail, manufacturing, and other fields to enhance their core competencies with a highly marketable skillset.”

The CPDA courses—in Foundations of Statistics, Data Mining, Machine Learning and Optimization, and Visual Analytics for Sensemaking—each require approximately 40 hours of coursework over seven weeks. The CPDA program can be completed in less than one year. Students more interested in targeted learning also have the option to take single courses.

More

Share this page
Suggested Articles
Ümit Çatalyürek named an IEEE Fellow

Ümit Çatalyürek, TDA affiliate and professor and vice chair of academic affairs in the Department of Biomedical Informatics, was recently named the newest IEEE Fellow at Ohio State in recognition of...

TDAI co-leading first NSF workshop on translational data science

TDAI and the University of Chicago’s Center for Data Intensive Science are co-chairing an NSF-sponsored Translational Data Science Workshop June 26-27 in Chicago. The invitation-only event is designed to build...

Libraries, Data, and Privacy

By Alison Armstrong, MALS, and Amanda Rinehart, MLIS and MS, Botany/Plant Biology Librarians have a long history of respecting, protecting, and defending patron[i] confidentiality and privacy; the freedom to read...

Big data in healthcare: Better care, better health

The utilization of big data analytics in healthcare is still in its infancy – partly due to the fact that healthcare data are complex, spread among multiple stakeholders, structured and...

Wang, Kurtek to explore data structures, shapes, and dynamics

TDAI affiliates Yusu Wang and Sebastian Kurtek are co-principal investigators on a new interdisciplinary project that has been awarded $500,000 through Phase 1 of the NSF’s Transdisciplinary Research in Principles of...