Microdata Analysis with Python

This hands-on workshop will guide participants through the process of data analysis using the Public Use Microdata File (PUMF) from Statistics Canada’s sample surveys. You will learn how to access, manage, and analyze microdata to extract meaningful insights. Participants will engage with sample datasets, explore various statistical techniques, and gain practical experience in interpreting and presenting their findings. Whether you're a student, researcher, or professional, this workshop will equip you with the tools to effectively analyze and utilize Canadian survey data.

Learning Outcomes: The participants will gain practical experience in interpreting and presenting their findings using Python.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.

Facilitator Bio: 

Vivek Jadon (he/him) provides research support in the use of numeric research data. As part of his role, Vivek is McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) program and Inter-university Consortium for Political and Social Research (ICPSR). Both of these programs provide researchers with vast archive of research data from various disciplines for high quality research and instruction. Vivek is also involved in building awareness and promoting RDM activities/services at McMaster.

Certificate Eligibility: This workshop is eligible for the Sherman Centre's certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact scds@mcmaster.ca.