Select the desired Level or Schedule Type to find available classes for the course. |
INTE 425 - Data Explor and Visualization |
Students will learn dataset elements, data collection, representation and querying techniques, visual variables and statistical tools for graphing, and preparation of data for further analysis, with emphasis on issues related to healthcare. Students will also be introduced to data science tools and related coding techniques.
3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Individual Instruction, Lecture Science and Mathematics Division Computer Science Department Restrictions: May not be enrolled as the following Classifications: Continuing Education Prerequisites: Undergraduate level INTE 255 Minimum Grade of D- and Undergraduate level CSCI 366 Minimum Grade of D- |
Return to Previous | New Search |