This course expands the coverage of data science into strategic modeling for the effective and efficient study, analysis, and presentation of data. Models and data programming is accomplished in the Python and R languages. The course covers areas such as conceptual, enterprise, logical and physical data modeling as well as generic and semantic data modeling. Various modeling processes and methodologies will be covered as well as many of the tools used by data scientists to construct viable data models. The course will conclude with the development of an enterprise level scientific or engineering data modeling project.
MSCS3807: Data Modeling in Python and R
Class Program