Data Analysis Using Excel for Health Research
Graduate students in the health and social sciences with research interests in individual, population, and public health will benefit from this course which provides them opportunities to learn and practice using Excel as a tool for entering, managing, analyzing, and sharing health research data. In this course, students will use strategies in Excel to facilitate accurate data entry, improve data quality, and make it easier to analyze data. The emphasis is on applied learning and hands on practice. Students will gain further experience in the manipulation and handling of data and start to understand the important role that spreadsheets can perform in a data analysis environment. Students will complete a final project where they incorporate the Excel skills they have learned to analyze and interpret data from a provided data set to answer a health research question
Prerequisites & course information
Permission of the department is required. Restriction(s): Restricted to students in the Department of Community Health and Epidemiology. Prerequisite(s): An upper-level undergraduate statistics course. Note: This course is part of a suite of skills-focused short courses offered by the Department of Community Health and Epidemiology that build on content and theory delivered in full 3.0 cu graduate research methods courses. Completion of several of these 1.0 cu skills courses is not a suitable substitute for a single 3.0 cu research methods program requirement as they do not provide the theoretical or substantive depth expected at a graduate level.
Sources
- Course catalogue ↗2026-2027