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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>