This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an "Open", or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. Prerequisite: Information Technology Problem Solving (CIT113) or equivalent or department chair approval. 01/27/2021-05/12/2021 Remote Wednesday 06:00PM - 09:40PM, Synchronous, Room REMOTE
- Teacher: Michael Harris