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DSCI 611 Data Workflow Automation 3.0 Credits

Teaches reproducible, adaptable automation for data processing, analytics, and modeling lifecycles for both scientific research and practical data science and predictive analytics in business settings. Covers data management and workflow automation tools, tracking and versioning data and analytics code, collaboration, integrating with data sources and machine learning deployments, inference servers, and experiment records. Course project applies the principles in an end-to-end data-intensive exercise.

College/Department: College of Computing and Informatics
Repeat Status: Not repeatable for credit
Prerequisites: DSCI 511 [Min Grade: B-] or CS 570 [Min Grade: B-]