Advanced Analytics Platforms, Environments, and Software

Catalog description

This course covers the data analytics lifecycle surrounding Big Data. Topics include Big Data architectures, batch and real-time processing environments, ETL tools and techniques, Big Data storage technologies, machine learning, and visualization. Security, legal, and ethical issues will also be addressed. Students will work with the SAS® statistical software suite to perform exploratory data analysis and reporting.