Focuses on the exploration of the types of data typically encountered in modern data science, such as text data, spatial data, and time series data. Uses various statistical techniques to gain insight into the structure of the data, including graphical visualization, linear regression, trees and clustering.
Practice Exams
Test 1
Test 2
Test 3
Test 4
Example Syllabus (this may not be the syllabus used by your instructor, but gives students an idea of the course content and expectations).
Course Coordinator: Sabiha Mahzabeen