MSA 8040 - Data Management for Analytics

3 Hours
It covers a variety of topics including relational data modeling, logical and physical database design, structured query language, capturing, cleaning and merging unstructured data, and analysis techniques, such as classification, sentiment analysis, clustering and information retrieval. The methods and techniques discussed will be linked to other topics, such as machine learning, and applied to practical analytics problems.

Prerequisite(s): None This course introduces students to structured and unstructured data management methods and techniques.
Corequisite(s): None.
Pre/Corequisite(s): None.
Requirements: None.