The second of two lab courses that are part of the master of science in big data. This lab course aims to provide students with experience needed for a successful career in big data in the information technology industry. Students will learn core concepts of artificial intelligence and applied data science. Specifically, this includes data analytics, advanced statistics and data visualization, deep learning, and anomaly detection. Many of the assignments will be completed on publicly available, complex data sets giving students experience with algorithms and software tools needed to master programming for big data. Prerequisite: CMPT 732. This course is only available to students enrolled in the master of science in big data program.
The second of two lab courses that are part of the master of science in big data. This lab course aims to provide students with experience needed for a successful career in big data in the information technology industry. Students will learn core concepts of artificial intelligence and applied data science. Specifically, this includes data analytics, advanced statistics and data visualization, deep learning, and anomaly detection. Many of the assignments will be completed on publicly available, complex data sets giving students experience with algorithms and software tools needed to master programming for big data. Prerequisite: CMPT 732. This course is only available to students enrolled in the master of science in big data program.
