Predictive Analytics

Predictive Analytics for Business Applications: Fundamentals of data analytics

Analytics has become more important over the past few years as a source of competitive advantage for businesses as well as a tool for improved effectiveness and efficiency. Organizations around the world are looking at ways to leverage data to create value. This is being done using quantitative analysis and topics such as operations research, statistical modeling, predictive analytics, text mining and associated IT tools.

This Kelley School of Business Executive Education Digital Badge Program will introduce students to a variety of analytics techniques and software tools. The course begins with the basics of problem definition and data preparation, including strategies for missing values, outliers, and skewed distributions. Next, students will learn to identify appropriate analytical techniques based on data structure and problem definition. Techniques studied include linear regression, logistic regression, discriminant analysis, principal component analysis, cluster analysis and neural networks. These will be covered using a variety of software including Excel and R.

Test drive a graduate certificate or degree

When you receive your digital badge, you'll have the option to take an Assurance of Learning exam to earn 3 credit hours that can be applied to the Business Analytics Graduate Certificate, which is one of several 12 credit hour graduate certificate programs offered by the Executive Degree Programs (EDP). The certificate can be applied to the Executive Degree online MS or MBA program.

Learning outcomes

At the conclusion of the course, students will be able to construct, validate, and interpret data mining and predictive analytics models using large data sets, and apply these techniques to marketing, finance, and operations problems. Students will complete weekly quizzes to demonstrate mastery of the subject matter and to qualify for the badge. 

Upon completion of the program, students will receive one digital badge to share on their resume, LinkedIn profile, and other sites.

Meet the instructor

John D. Hill

Clinical Professor

John D. Hill, PhD, MBA, is a Grant Thornton Scholar in the Department of Operations & Decision Technologies at the Kelley School of Business in Bloomington, Indiana. He is co-director of the Supply Chain and Digital Enterprise Academy and also co-director of the Digital Logistics and Transportation Workshop. His specialties include creating simulated environments, transportation safety and policy, and measurement of human performance.


The next digital badge series starts the week of March 22. For more information, contact Susan Garcia, Program Manager, at