Data Literacy Training Products

Journals and periodicals: 89-20-0006

Description: Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills by developing a series of data literacy training resources. Data literacy is a key skill needed in the 21st century. It is generally described as the ability to derive meaning from data. Data literacy focuses on the competencies or skills involved in working with data, including the ability to read, analyze, interpret, visualize data, as well as to drive good decision-making.
Frequency: Occasional
Available formats: HTML, PDF
TitlesRelease dateMore Information
The Importance of Disaggregated Data: An Introduction (part 1)July 16, 2024More information
The Importance of Disaggregated Data: An Introduction (part 2)July 16, 2024More information
Data Quality as Fitness for UseJuly 17, 2023More information
Data ethics part 2: Ethical reviews - ARCHIVEDOctober 17, 2022More information
Statistics 101: Statistical Bias - ARCHIVEDOctober 17, 2022More information
Data ethics: An introduction - ARCHIVEDMay 24, 2022More information
FAIR data principles: What is FAIR? - ARCHIVEDMay 24, 2022More information
Statistics 101: Confidence intervals - ARCHIVEDMay 24, 2022More information
Statistics 101: Exploring measures of central tendency - ARCHIVEDMay 3, 2021More information
Statistics 101: Exploring measures of dispersion - ARCHIVEDMay 3, 2021More information
Framework for Responsible Machine Learning Processes at Statistics Canada - ARCHIVEDMay 3, 2021More information
Statistics 101: Correlation and Causality - ARCHIVEDMay 3, 2021More information
Statistics 101: Proportions, ratios, and rates - ARCHIVEDMay 3, 2021More information
Machine learning: An introduction - ARCHIVEDMay 3, 2021More information
Telling the data story: How to create stories that matter - ARCHIVEDMay 3, 2021More information
Data stewardship: An introduction to data standards and metadata - ARCHIVEDMay 3, 2021More information
Data Quality in Six Dimensions - ARCHIVEDSeptember 23, 2020More information
Types of Data: Understanding and Exploring Data - ARCHIVEDSeptember 23, 2020More information
Gathering Data: Things to Consider Before Gathering Data - ARCHIVEDSeptember 23, 2020More information
What is Data? An Introduction to Data Terminology and Concepts - ARCHIVEDSeptember 23, 2020More information
The Data Journey: What you need to know for successful navigation - ARCHIVEDSeptember 23, 2020More information
Data Accuracy and Validation: Methods to ensure the quality of data - ARCHIVEDSeptember 23, 2020More information
Analysis 101, part 1: Making an analytical plan - ARCHIVEDSeptember 23, 2020More information
Analysis 101, part 2: Implementing the analytical plan - ARCHIVEDSeptember 23, 2020More information
Analysis 101, part 3: Sharing your findings - ARCHIVEDSeptember 23, 2020More information
Analysis 101, part 4: Case study - ARCHIVEDSeptember 23, 2020More information
Data stewardship: An introduction - ARCHIVEDSeptember 23, 2020More information
Data Visualization: An introduction - ARCHIVEDSeptember 23, 2020More information

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