Data Analytics

Catalog description

Data analytics is the process of analyzing raw data using machine learning algorithms and discovering patterns and associations in large data sets. It supports decision making by detecting patterns, devising rules, identifying new decision alternatives and making predictions. This course provides an overview of leading analytics and machine learning methods and their applications to real-world problems. It is designed to provide students with the skills needed to perform analytical tasks such as prediction and classification using both supervised and unsupervised learning techniques. Students will use available software to conduct various data analyses to detect patterns, predict future trends and help businesses make proactive, data-driven decisions. Students will also investigate the applications of a wide range of modern analytics techniques to business contexts.