January 2023 University Catalog with April Addendum

ANLT5020 Data Sources for Analytics

In this course, learners explain database methodologies including relational databases, flat files, dimensional modeling, RSS feeds and multi-dimensional modeling. Learners examine the impact of data quality on analytics and apply ETL techniques and processes. Finally, learners evaluate the application of data warehouses, data marts, and multi-dimensional cubes to decision-making and action.

Credits

4

Prerequisite

Completion of or concurrent registration in ANLT5010.