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Current trends among industries ranging from insurance to manufacturing (as well as many other professions) are pushing the need for data literacy and team based problem solving. MATH 488 - Data Science and Statistical Consulting provides learners with an experience that mimics industry implementation of data handling, data analysis, and project complexity. |
The course is designed to support our mathematical sciences and data science majors as well as our statistics and data science minors.
I love this class, I wish that I could have taken 12 credits of this class with different projects.
-Jashon Newlun-
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Learners that want an experience in analytics consulting that leverages statistical modelling, machine learning, and advanced data handling and visualization techniques to solve real world problems with data.
Apply a team-based project consulting process to answer client driven questions with the use of modelling methods on large complex data in varied domains.
As a successful team member, you will be able to
- Establish and document the ethical guidelines of a data science professional.
- Describe and practice the life cycle of team based data science projects.
- Develop communication skills needed to discuss technical, analytical content with others outside of their domain.
- Apply methods from statistics or data science for specific business requests.
- Present analytics results to a client.
- The syllabus provides context for the details of how the class will operate and how grades will be earned.
- You can see the reading options for our class conversations.
- You can review how time is tracked and reported.