With data science employment projected to grow 36% by 2033, professionals across industries are seeking ways to leverage the power of data analysis to drive decision-making. The Data Science Modeling certificate program — developed by Sumanta Basu, an associate professor at Cornell Bowers Computing and Information Science — bridges the gap between basic statistics and advanced data science applications.

The certificate program consists of four comprehensive courses: Nonlinear Regression Models, Modeling Interactions Between Predictors, Foundations of Predictive Modeling and Ensemble Methods. Participants learn to capture complex relationships in data through advanced regression techniques, transform categorical variables into meaningful predictors and build models that adapt to real-world complexities. Through hands-on practice in R programming, professionals develop practical skills in decision trees and random forests to solve challenging prediction problems.

In a recent conversation with eCornell, Basu explained how the program blends statistics and data science.

Read more on the eCornell blog.