Data Management & Analytics

3 credits · Undergraduate

In this course you will learn methods of data exploration, visualization, manipulation, and analysis with the goal of using this work to inform the strategy and operations of a particular organization. Specific visualization tools available in R Studio will be taught as well as supervised and unsupervised statistical techniques such as classification, cross-validation, and clustering. The course includes a final project in which students will be given data sets from industry or government and expected to find patterns and form conclusions in order to help the client better understand their operations and inform their policies. As stated, students will be using the software package R Studio. EXCLUSIONS: IENG 3301, IENG 3348 FORMATS: Lecture | Lab