Overall course objective:
Learn what disaggregated data is and how disaggregated data can be used at different stages of the policy-making cycle.
Target audience:
Junior policy analysts, or those who have less experience with working with data.
Format:
Virtual instructor-led course over 3 consecutive days (from 10am to 3pm each day), with a one-hour lunch break
Course structure:
Six modules
Module 1: Introduction
- Learn what disaggregated data is and why it's important.
Module 2: Identify target groups using key findings from disaggregated data
- Learn how to find reports and data tables on Statistics Canada's website related to the topic being investigated;
- Learn how to use disaggregated data to identify the most relevant population groups to inform a given policy initiative.
Module 3: Disaggregated data standards and quality
- Learn about the importance and availability of data standards;
- Learn about data quality indicators and confidence intervals and how they can help you draw conclusions about differences between groups.
Module 4: Data suppression and data development opportunities
- Learn about data suppression due to confidentiality and/or data quality;
- Learn about options for working around data suppression;
- Gain an awareness of data development opportunities.
Module 5: Communicating findings from disaggregated data
- Learn about the components of data stories;
- Learn the tenets of a good disaggregated data story.
Module 6: Summary and wrap up activity
Course activities:
- Case studies and scenarios based on Canadian policy examples;
- Demonstration and application exercises;
- Group polls and break out room discussions;
- Individual and small group activities.
Price
$500 per participant
Contact information
For general information about this course and how to register, contact the Analytical Studies and Modelling Branch: statcan.asbtraining-deaformation.statcan@statcan.gc.ca