Data Visualization for Data Scientists

4 credits

Introduction to the visual tools and techniques used in modern data science to develop and deploy data driven insights. Provides a foundation for visualization to support exploratory analysis, statistical modeling, machine learning, and presentation of results on structured and unstructured data. Students develop and present deep analyses for wider audiences. Course overlaps with: CSE 512; HCDE 511; INFX 562; and STAT 511. Recommended: basic familiarity with computer programming concepts as well as some prior experience working with data using programming languages like R or Python. Offered: A.