DSCI301

This course provides the conceptual and technical foundations of various aspects of Big Data Analytics. The purpose is to help students acquire foundation skills in Big Data ? which can be used to further their specialization in a niche within Big Data. Upon completion of the course students should be able to understand: What Big Data, Cloud Computing and NoSQL Databases are; Various components and architecture of Big Data Analytics; Different types of Analytics including Text, Descriptive, Predictive and Prescriptive; and how Big Data Analytics is used in different contexts. Students should also be able to use Analytics and Dashboards to present actionable Insights. This course will use SAS Visual Analytics as one of the tools for illustrating the volume of Big Data, and how it can be used to harness actionable insights. Students will use datasets to create visualizations and actionable insights. Prerequisites: DSCI102, DSCI105 and DSCI201.