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
We each have our own data journey to navigate. This learning journey is going to be different for each learner. This will depend, among other things, on the basic level of knowledge and the objectives of each person. The good news is that learners can personalize their learning journey according to their needs and the time they have.
We are here to help each learner find their own way to the top, even if the journey may seem daunting at first.
Think of us as a guide for your data journey, whatever your climb looks like, as a data beginner or a data scientist, and everyone in between.
Learning journey for employees of federal, provincial, territorial, or municipal departments
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)
Take our free online self-paced courses
Data literacy learning path
Foundations of Data Analysis: The Analytical Process (DDN320)
Data quality as fitness for use
Data literacy for the public sector
Working with Disaggregated Data for Better Policy Outcomes (DDN323)
For general information about our courses and how to register, contact the Analytical Studies and Modelling Branch: statcan.asbtraining-deaformation.statcan@statcan.gc.ca