| Instruction Time | Completion Time | CEUs | |
|---|---|---|---|
| Mobility Data | ~ 6-7 hours | 60 days after start date | 1 |
The Mobility Data course provides an overview of key datasets, analytical tools, and data concepts related to mobility. You will learn a variety of data types and sources — from crash data to travel data to emissions data — while understanding how to appropriately use mobility data in analysis, modeling, and decision-making. These concepts will be presented at a conceptual level, in the context of example use cases. You will come away with an understanding of where to find data, what each dataset represents, and the kinds of questions it can inform, in addition to the role and use of predictive models such as classical statistical and machine-learning models.
This course will introduce key data and analysis concepts for mobility, including datasets, methods, issues and challenges, and use cases for making data-driven mobility decisions.
Successful completion of course topics, readings, and testing assessment with an 80% pass rate is required to earn a digital badge for this course.
There are no prerequisites for this course.
Administrative/Online Technical Support
Support staff are available via phone and email to help with administrative and technical issues during our normal business hours (Monday through Friday 8:00 a.m. to 5:00 p.m. Eastern Time).
Content Questions/Certification Project Support
Candidates are welcome to contact the course instructors for content questions and project support. The instructors will provide support via email, phone consultation, and/or online videoconferencing.
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For more information or answers to any questions please email [email protected] or fill out the form.
Main Office:
2401 Plymouth Road, Suite A/B
Ann Arbor, MI 48105
(734) 647-7200
[email protected]
