
As Canada's national statistical organization, Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills. The goal is to provide learners with information on the basic concepts and skills with regard to a range of data literacy topics.
The training is aimed at those who are new to data or those who have some experience with data but may need a refresher or want to expand their knowledge. We invite you to check out our Learning catalogue to learn more about our offerings including a great collection of short videos. Be sure to check back regularly as we will be continuing to release new training.
What is data literacy?
Data literacy is the ability to derive meaningful information from data. It focuses on the competencies involved in working with data including the knowledge and skills to read, analyze, interpret, visualize and communicate data as well as understand the use of data in decision-making.
Data literacy also means having the knowledge and skills to be a good data steward including the ability to assess the quality of data, protect and secure data, and their responsible and ethical use.
Data literacy competencies
Data literacy competencies are the knowledge and skills you need to effectively work with data.
Data journey
The data journey represents the key stages of the data process starting with finding and exploring data through to telling the data story.
Learning catalogue
Check out the data literacy training available from Statistics Canada.
Learning path
Use this guide to help you navigate your data literacy journey.

Your Learning Journey
Everyone’s data journey is unique. Your path will depend on your starting point, your goals, and the time you have. The good news? You can tailor this learning experience to fit your needs.
We’re here to guide you—whether you're just starting out or already deep into data science. No matter how steep the climb may seem, we are here to help each learner find their own way to the top.
Learning journey for all
Take our free online self-paced courses
Sign up for our (paid) teacher-led training
- Analysis 101: Steps of the analytical process
- Working with disaggregated data for better policy outcomes
- Analytical Sprint (available soon)
Learning journey for employees of federal, provincial, territorial, or municipal departments
Take our free online self-paced course
Learning journey for employees of federal departments
Take our free online self-paced courses (Canada School of Public Service)
- Foundations of Data Analysis: The Analytical Process (DDN320)
- Working with Disaggregated Data for Better Policy Outcomes (DDN323)
- Disaggregated Data in Action: A Case Study on Black Entrepreneurship (DDN324) (coming soon)
- Disaggregated Data in Action: A Case Study on Health Inequalities (DDN331) (coming soon)
For general information about our courses and how to register, contact the Analytical Studies and Modelling Branch: statcan.asbtraining-deaformation.statcan@statcan.gc.ca