Select the desired Level or Schedule Type to find available classes for the course. |
DS 5500 - Data Science Capstone |
Offers students a capstone opportunity to practice data science skills learned in previous courses and to build a portfolio. Students practice visualization, data wrangling, and machine learning skills by applying them to semester-long term projects on real-world data. Students may either propose their own projects or choose from a selection of industry options. Emphasizes the overall data science process, including identification of the scientific problem, selection of appropriate machine learning methods, and visualization and communication of results. Lectures may include additional topics, including visualization, communication, and data science ethics.
4.000 Credit hours 4.000 Lecture hours Levels: Graduate Schedule Types: Lecture Data Science Department Course Attributes: Graduate CCIS Data Sci Cert Restrictions: Must be enrolled in one of the following Programs: MS Data Science - Align MS Data Science Must be enrolled in one of the following Levels: Graduate Prerequisites: (Graduate level CS 5800 Minimum Grade of C- or Graduate level EECE 7205 Minimum Grade of C-) and Graduate level DS 5110 Minimum Grade of C- and Graduate level DS 5220 Minimum Grade of C- and Graduate level DS 5230 Minimum Grade of C- |
Return to Previous | New Search |