Cloud Analytics

Catalog description

Students learn how to use cloud services to build an enterprise platform for data analytics and machine learning. Students develop skills with cloud services that are critical for conducting an analysis of big data problems. Through a series of tutorials, demonstrations and hands-on labs, students learn how to use cloud services and build a data pipeline to source data from other systems as well as streaming data, ingest, store, process, and visualize data. Additionally, students are able to select and apply machine learning services to resolve applied analytics problems. Prerequisite(s): AIST 3410 >= C Lecture Hours: 3 Contact Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Click here for the Schedule of Classes.