This course provides a foundation to explore health data through computing and statistical analysis. Focus is placed on the structure and applications of probability, statistics, computer simulation, and data analysis as applied to various types of health data. In particular, students will investigate descriptive statistics, inferential statistics, linear regression and probability concepts, hypothesis testing, and foundational statistical tools that are applicable to data analysis. Common statistical and programming tools will be used. Students should have an introductory/basic understanding of statistics for this course.
Friday, January 19 - March 1: 6:30 p.m. - 9:30 p.m. (Virtual)
Location:
ONLINE
Instructor:
Vidhi Thakkar
Notes:
This is a professional development; non-credit course. This course is offered as a virtual classroom with classes held, as per the scheduled day/time. Classes will be held online, using a combination of synchronous, real-time, instructor led sessions, supplemented with asynchronous activities. You should expect to attend class at the same time, each week, although not every session will be a full 3 hours of live instruction. Rather, classes will provide learners the opportunity to apply what has been covered by your course facilitator. Participants must bring a laptop to the class.
Instructors
Vidhi Thakkar
Vidhi Thakkar has completed her PhD in Health Policy from the Institute of Health Policy Management and Evaluation. Vidhi is a recipient of the CIHR Health Systems Impact Fellowship, where she is a leading a project on supporting caregivers in the BC Healthcare system. Vidhi also received a Masters of Science in Experimental Surgery from McGill University and her Bachelor of Health Sciences (Honours) at McMaster University.
She has worked for more than 7 years in the health system with organizations with provincial Ministries of Health, hospitals, several universities, and Cancer Care Ontario. Her research interests include evidence-informed policy making, health informatics, health data, patient engagement, and health care accountability.
Vidhi was actively involved with the Canadian Association of Health Services and Policy Research and was also a board member for the Justice Emmett Hall Foundation. She has also won the Gordon Cressy Leadership Award at the University of Toronto. Vidhi currently teaches HTH 110: Health Informatics Data Analysis, HTH 400: Epidemiology, and HDA 102 and HDA 103 in the Health Analytics program. She brings to the Department her expertise in student advising, student leadership development, and Health Data Analytics.
