The online Data Analytics for Business Professionals curriculum capitalizes on the University of Chicago’s expertise and resources in teaching analytical skills that enable students to accelerate their careers. Students learn by analyzing real business problems individually and in virtual teams while benefitting from the knowledge and experience of their instructors and peers.
What do Data Analytics Students Learn?
- How to construct a project plan
- Learn the essentials of analytical management necessary to drive project success
- How to frame business challenges into a data science solution and build executable business plans
Data Analytics Program Structure
- 3 required online courses (the sequence of the courses are structured along the CRISP-DM methodology)
- DABP12000: Data Understanding and Preparation (Online)
- DABP13000: Data Visualization and Storytelling (Online)
- DABP14000: Advanced Analytics and Machine Learning (Online)
*Order of Completion: DABP12000 > DABP13000 > DABP14000
Data Analytics Class Formats
Courses follow the same dataset and use one case throughout program completion. This structure is deliberately built to provide students with a repeatable and actionable toolkit to be able to frame business challenges into a data science solution and build executable business plans.
- Each course takes 6 weeks to complete and follows similar modular weekly organization
- All online courses start on a Monday with a full week of self-study activities in Canvas, our learning management system
- Weekly self-paced learning and materials are time-sensitive and must be completed within required timeframes
- Weekly self-paced learning in Canvas leads to one synchronous session per week
- Synchronous sessions are conducted through Zoom
- Attendance to synchronous sessions is mandatory
- Learn more about taking online courses