Math for Data Analytics

Math for Data Analytics

BDAT 1005

This course is specifically focused towards supporting the mathematical principles required to apply the concepts of data analysis and 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.

Credits

3

Course Hours

42

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.

Contact parttimestudies@georgiancollege.ca or call 705.722.5149 for more information.