Disaggregated Data in Action: A Case Study on Food Insecurity (DDN331)

Overview

Delivery method

Online

Duration

1.5 hours

Audience

All public servants at all levels

Prerequisites

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To register for this course, you must first complete the following:

• DDN323 - Working with Disaggregated Data for Better Policy Outcomes

Description

The ability to analyze and use disaggregated data is essential for developing inclusive and evidence-based policies. This online self-paced course presents a case study on food insecurity in British Columbia, where learners will practice solving problems related to disaggregated data in a real-world context. Participants will identify at-risk populations, assess data quality, and use the findings to support targeted policy responses.

Topics include:

• examining how to apply disaggregated data in policy-making
• analyzing reports, data tables, and charts to identify key findings
• interpreting disaggregated data with confidence intervals and data quality indicators
• communicating an impactful data story to decision-makers using data points, visualization and narrative

Notes:

This course was created in collaboration with Statistics Canada.