Data for Health Analytics Certificate
This certificate course is part of the AbSPORU Leadership in Patient-Oriented Research Microcredential.
Upcoming Course Dates TBA
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.
This course integrates 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. The data set utilized for the courses depends on the availability and access structures at the time of the course offering. This information will be provided when course registration opens.
Before taking this course, participants must already have:
- Basic biostatistics knowledge (such as descriptive analysis, frequency analysis, and regression modeling);
- Basic knowledge of statistical software; and
- Basic epidemiological knowledge.
Prerequisites
Before the start-date of this course, participants must complete all of the following:
- AbSPORU Introduction to Data for Health Research eLearning module – COMING SOON
- Python for Everybody – 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.
- Intro to Data Science in Python – Learners with some background in coding may begin with this course. Proof of completion must be provided to the project coordinator prior to the first day of the program.
This course is delivered over 8 weeks. Each weekly modules includes an instructor presentation on analytical processes essential for research involving administrative health data, followed by a facilitated tutorial. A research question will be used as a case study for applying analytical skills through individual and group work during tutorial time.
Participants are expected to:
- Attend weekly presentation sessions;
- Have a laptop with R statistical software installed;
- Attend and participate in tutorial sessions, including group work activities; and
- Develop a hypothetical research question for use in the final assignment of the course.
Plan to spend 3-4 hours on course activities each week.
By the end of the Data Analytics for Health Research Certificate learners will be able to:
- Develop and apply knowledge of databases and administrative data in the context of health research through a case study;
- Perform basic analysis, including decision-making about the steps to take in the process of addressing a research question;
- Demonstrate understanding of data features, including defining study populations and variables;
- Explain the principles of data quality in administrative health data, identify and apply methods for assessing data quality, and articulate the impact of data quality on results;
- Demonstrate the ability to employ analytical techniques, including when specific tools/strategies are appropriate based on the research question and available data; and
- Develop an individual research question and present a plan for how this research question could be addressed utilizing the steps, processes, and techniques from the weekly sessions.
This certificate is an Accredited Group Learning Activity (Section 1) as recognized by the Royal College of Physicians and Surgeons of Canada.
Stay connected with AbSPORU and our research by signing up for our emails.
Let us know how you want to stay connected
News + Events
News + Events
Patient Partner Research OpportunitiesI agree to receive occasional emails from AbSPORU.
CALGARY
University of Calgary Foothills Campus
3330 Hospital Dr NW
Calgary, AB T2N 4N1
EDMONTON
College Plaza
1702, 8215 112 St NW
Edmonton, AB T6G 2C8
Land Acknowledgment
The Alberta SPOR SUPPORT Unit operates on and acknowledges the lands that are the traditional and ancestral territory of many peoples, presently subject to Treaties 6, 7, and 8. Namely: the Blackfoot Confederacy – Kainai, Piikani, and Siksika – the Cree, Dene, Saulteaux, Nakota Sioux, Stoney Nakoda, and the Tsuu T’ina Nation and the Métis People of Alberta. This includes the Métis Settlements and the Métis Nation of Alberta. We acknowledge the many First Nations, Métis and Inuit who have lived in and cared for these lands for generations. We make this acknowledgment as a reaffirmation of our shared commitment towards reconciliation, and as part of AbSPORU’s mandate towards fostering health system transformation.
© 2024 AbSPORU