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, Video/MP4
Titles Release date More Information
Fighting Misinformation December 15, 2025 More information
Unlock the Power of Data Linkage November 25, 2024 More information
The Importance of Disaggregated Data: An Introduction (part 1) July 16, 2024 More information
The Importance of Disaggregated Data: An Introduction (part 2) July 16, 2024 More information
Analysis 101: How to read a table - ARCHIVED October 24, 2023 More information
Data Quality as Fitness for Use - ARCHIVED July 17, 2023 More information
Data ethics part 2: Ethical reviews - ARCHIVED October 17, 2022 More information
Statistics 101: Statistical Bias - ARCHIVED October 17, 2022 More information
Data ethics: An introduction - ARCHIVED May 24, 2022 More information
FAIR data principles: What is FAIR? - ARCHIVED May 24, 2022 More information
Statistics 101: Confidence intervals - ARCHIVED May 24, 2022 More information
Statistics 101: Exploring measures of central tendency - ARCHIVED May 3, 2021 More information
Statistics 101: Exploring measures of dispersion - ARCHIVED May 3, 2021 More information
Framework for Responsible Machine Learning Processes at Statistics Canada - ARCHIVED May 3, 2021 More information
Statistics 101: Correlation and Causality - ARCHIVED May 3, 2021 More information
Statistics 101: Proportions, ratios, and rates - ARCHIVED May 3, 2021 More information
Machine learning: An introduction - ARCHIVED May 3, 2021 More information
Telling the data story: How to create stories that matter - ARCHIVED May 3, 2021 More information
Data stewardship: An introduction to data standards and metadata - ARCHIVED May 3, 2021 More information
Data Quality in Six Dimensions - ARCHIVED September 23, 2020 More information
Types of Data: Understanding and Exploring Data - ARCHIVED September 23, 2020 More information
Gathering Data: Things to Consider Before Gathering Data - ARCHIVED September 23, 2020 More information
What is Data? An Introduction to Data Terminology and Concepts - ARCHIVED September 23, 2020 More information
The Data Journey: What you need to know for successful navigation - ARCHIVED September 23, 2020 More information
Data Accuracy and Validation: Methods to ensure the quality of data - ARCHIVED September 23, 2020 More information
Analysis 101, part 1: Making an analytical plan - ARCHIVED September 23, 2020 More information
Analysis 101, part 2: Implementing the analytical plan - ARCHIVED September 23, 2020 More information
Analysis 101, part 3: Sharing your findings - ARCHIVED September 23, 2020 More information
Analysis 101, part 4: Case study - ARCHIVED September 23, 2020 More information
Data stewardship: An introduction - ARCHIVED September 23, 2020 More information
Data Visualization: An introduction - ARCHIVED September 23, 2020 More information

Related information

Subjects and keywords

Subjects

Keywords

Date modified: