IS 555
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
Grade Rule
Standard Grade Rule: A B C D E I
Min
3
Fixed
3
Fixed
3
Fixed
0
Title
Collaborate
Learning Outcome
<p>Students will be able to 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</p>
Title
Methods
Learning Outcome
<p>Students will be able to assemble, store, manipulate, visualize, and refresh a real-world dataset that informs a meaningful problem space</p>
Title
Ethics
Learning Outcome
<p>Students will be able to identify (and be conversational about) sources of bias, performance issues, and ethical and regulatory considerations, and explain how these will affect stakeholders and others.</p>