New Online Courses Focus on Advancing Big Data Analytics Techniques

Three new e-learning courses have been introduced to help foster expertise in big data and analytics, fraud analytics, and credit risk modeling. The courses were developed by Big Data Quarterly columnist Bart Baesens, who is a professor at KU Leuven (Belgium), and a lecturer at the University of Southampton (United Kingdom).

The courses are being offered in partnership with SAS, and do not focus on the software but, instead, on the general concepts and modeling steps.

The topics for the three courses are Advanced Analytics in a Big Data WorldCredit Risk Modeling; and Fraud Analytics Using Descriptive, Predictive and Social Network Analytics.

“All three courses are self-paced e-learning courses which means participants can follow them at their own pace and play the videos as many times they like,” said Baesens, noting that quizzes are included to support understanding of the material. Upon registration, participants get an access code which gives them unlimited access to all course material (movies, quizzes, scripts) for 1 year and all three courses provide a mix of both theoretical and technical insights, as well as practical implementation details. “I also extensively report on my recent research insights about the topics, and various real-life case studies and examples are used for further clarification,” said Baesens.

Each of the courses consists of about 20 hours of videos.  To access the course material, attendees need a laptop, iPad, or iPhone with a web browser, but no SAS software is required. A certificate is provided upon completion of the course.