CIS 733 - Data Science Foundations

Credits 3

Methods used for making discoveries in complex data and turning data into knowledge. Handling big data and “small data,” feature engineering, convolutions, classification, regression, using clustering for discovery, novelty detection, statistical inference, research design, prescriptive analytics, and more. Using standard software packages and libraries for preparing and analyzing data, implementing supervised machine learning, and visualization.

Repeat for Credit
N

Requisites
Prerequisite: CIS 300 or CC 310. Prerequisite or concurrent: STAT 225, STAT 240, STAT 250, STAT 510, or STAT 703.

Typically Offered
Fall

Kansas State University

Course Catalog

CIS 733 - Data Science Foundations