Data Mining & Visualization

3.00 credit hours

Data Mining is the process of identifying new patterns and insights in data. As the volume of data collected and stored in databases grows, there is a growing need to provide data summarization (e.g., through visualization), identify important patterns and trends, and act upon the findings. Insight derived from data mining can provide tremendous economic value, often crucial to businesses looking for competitive advantages. This course is a survey of data visualization methods, supervised and unsupervised learning techniques, and modern tools for discovering knowledge for business decisions.

Sample Syllabus (login required)

Alireza Kabirian (Fall 2017)

NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.