HMIS Data Analytics On-Demand Course
The Data Analytics On-Demand Course will equip participants with an analytic framework, set of skills, and best practices regarding an ad hoc analysis of Homeless Management Information System (HMIS) data to successfully create insight-driven data and reporting projects that culminate in increased stakeholder engagement and action. A combination of content, hands-on skill-building, and recommended resources are provided to transform the participant from a novice to a capable professional while providing opportunities for ongoing professional development and learning.
Participants will have eight weeks to complete six course modules at their own pace.
Instructors will be available weekly for a one-hour live meeting during weeks two through eight of the course. Instructors will be available to go over any questions participants might have or walk through data issues participants may be experiencing.
- Cohort 5: July 18, 2022 – September 9, 2022 (Registration Closed)
- Cohort 6: October 17, 2022 – December 9, 2022 (Registration will open in October 2022)
Who Should Attend:
This course is open to anyone in your community who is interested in analyzing, interpreting, and communicating HMIS data. This is an introductory level course and might be a good fit for newer members of your HMIS team. Participants are not expected to have high-level technical or statistical skills; only basic knowledge of the following is needed:
- HMIS data standards
- How to pull an HMIS comma-separated value (CSV) file set (unless the participant has access to someone who can pull HMIS reports for them)
- How to enter data into Excel and navigate within it
The goal of this immersive course is to provide a conceptual and practical framework for ad hoc reporting utilizing HMIS data. Learning objectives include:
- Understand how to develop a data analysis plan for ad hoc reporting projects
- Learn how to prepare and transform raw HMIS data into an analytic dataset
- Gain skills in how to build pivot tables and utilize filters and slicers to analyze and interpret HMIS data
- Become familiar with data visualization best practices
- Understand how to develop engaging data communications, including a data brief, for stakeholders