Provides with the base level understand and quantitative foundation needed for data analytics. It will include a discussion of key topics such as big data, analytics (including predictive/prescriptive), machine learning, Internet of Things, data mining and data science. The course will begin by examining these key topics, then move into an in–depth focus on the analytical process. Using case studies and application to real world scenarios students will experience how to apply the data analytics process to business situations. Next the course will focus on data communications and visualization principles. Finally, students will be introduced to common data analytics software applications and use one, or more, of these applications to complete an end of term project.