Mathematics for Data Analytics

BDAT 1005

Course description

In this course, students explore the foundational statistical principles and methods required to execute data analysis and for big data analytics. Students work through a series of hands-on assignments covering topics such as probability, distributions, regression, topological analysis, and descriptive and inferential statistics.



Course Hours


Students registering for credit courses for the first time must declare a program at the point of registration. Declaring a program does not necessarily mean students must complete a program, individual courses may be taken for skill improvement and upgrading.

For more information, please contact Continuing Education