ADS-5064: Foundations of Data Science
Description: History and evolution of data science. End-to-end process-based approach for data science. Application of tools, methods, and phases of the data science process. Evaluation of the data science process and tools in data science projects. Integrating data science solutions in the context of data structures, big data, network architecture, and software development. Project management as applied to data science projects. Applied ethical decision making in the context of the data science project. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 0
Average GPA: N/A
Strict A Rate (No A-) : N/A%
Average Withdrawal Rate: N/A%