Data Science Applied Project

Course description

In the field of data science, the ability to craft sound recommendations and propose business strategies based on small or large data sets is essential. Students work through a full data cycle to verify data, develop visualizations of multivariate data, and construct predictive analytics visualizations. In this hands-on project-based course, students perform exploration, analysis and prediction processes while using appropriate visualization, reporting techniques and best practices to present findings and recommendations to stakeholders. This is a capstone course and therefore intended to be the last course that students complete in the program.

Course details