The Data Analytics for Health Research course is designed to enable current professionals in the field of health data analytics to use administrative data effectively and to build the capacity in the Alberta workforce and research environment for the use of big data. At the end of the certificate program the learners will be able to:
The content of the Data Analytics for Health Research course is designed to integrate introductory topics on health data and analytics, while providing additional content, learning strategies, and practical application exercises using real-world administrative data examples.
The course has been designed to use existing data sets to answer a clinical research question and has used both Alberta-based and US data. The data set utilized for upcoming courses will depend on the availability and access structures at the time of the course offering. This information will be included in upcoming course materials.
A research question will be used as a case study as the foundation of applying analytical skills; preceptors will use this question as an example each week and learners will apply these skills in individual and group work during the class time.
In the course application, applicants must demonstrate:
For learners with no experience, this course is required. Learners with some coding experience may want to review specific modules as needed prior to completing the Intro to Data Science in Python course.
Accepted applicants are expected to:
This is an 8-week Certificate program. Learners may spend 3-4 hours per week. Individual time spent on the final assignment may vary, but in-class support will be provided.
The certificate is offered in-person with weekly sessions over 8 weeks. Weekly modules will include a brief presentation on various topics related to the analytical processes essential for research involving administrative health data, followed by a tutorial session to apply the material to a case study. Some lectures may be recorded for review prior to in-person sessions with preceptors for hands-on tutorials using the administrative data.
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