Advanced Data Analytics

Catalog description

This is a course with primary application to data analytics from a variety of domains, such as healthcare, finance, e-commerce, social media, etc. Learning objectives for students are to broadly understand the widely used machine learning algorithms and to gain hands-on experience with data preprocessing, feature extraction, and information visualization, when applying the learned algorithms to solving practical problems. A basic understanding of engineering and technology principles is strongly encouraged, including basic programming skills as well as sufficient mathematical background in probability, statistics, and linear algebra. Prerequisite(s): A MAT 108 or R CRJ 281 and B FOR 206.