INET 4061

About This Course

Introduction to data science. Design strategies for business analytics: statistics for machine learning, core data mining models, data pipeline, visualization. Hands-on labs with data mining, statistics, and in-memory analytics software.

Sample course topics: Data science, statistics for machine learning, linear regression, classification, model features, ensemble models, textual and graph analysis, deep learning, and machine learning platform. 

Sample textbooks: Data Mining: Examples and Case Studies by Yanchang Zhao, and Programming in Python by Wes McKinney 

Information Subject to Change

Course details, syllabus, and instructor are subject to change. Current course details can be found by clicking on the Term link(s) above.