IS 555
Download as PDF
Data Science Workflows for Organizations
Information Systems
Marriott School of Business
Course Description
End-to-end data science workflows using R, with a focus on strategy, team management, and real-world experience. Students will become thoughtful, detail-oriented, utility-focused data professionals who appreciate the grit required to deliver real-world, meaningful value through data assets.
When Taught
Winter
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Collaborate
Learning Outcome
Collaborate in a team setting to effectively create, evaluate, maintain, and update an end-to-end machine learning model pipeline that produces value in the problem space
Title
Methods
Learning Outcome
Assemble, store, manipulate, visualize, and refresh a real-world dataset that informs a meaningful problem space
Title
Ethics
Learning Outcome
Identify (and be conversational about) sources of bias, performance issues, and ethical and regulatory considerations, and explain how these will affect stakeholders and others.
Title
Evaluate
Learning Outcome
Defend model choice in terms of algorithm, validity, performance, and practical relevance to both data-savvy and non-technical stakeholders
