Data literacy learning path

Beginner

• What is Data? An Introduction to Data Terminology and Concepts
• Data Quality in Six Dimensions
• Data Stewardship: An introduction
• Data Stewardship: An introduction to data standards and metadata
• Data Journey: What you need to know for successful navigation
• The Importance of Disaggregated Data: An Introduction (part 1)
• The Importance of Disaggregated Data: An Introduction (part 2)

Intermediate

• Data ethics: An introduction
• Data ethics: Ethical reviews
• FAIR data principles: What is FAIR?
• Data Quality as Fitness for Use (Course)

Beginner

• Gathering Data: Things to Consider Before Gathering Data

Intermediate

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Beginner

• Analysis 101: How to read a table
• Types of Data: Understanding and Exploring Data
• Data Accuracy and Validation: Methods to ensure the quality of data

Intermediate

• Statistics 101: Exploring measures of central tendency
• Statistics 101: Exploring measures of dispersion

Beginner

• Analysis 101, part 1: Making an analytical plan
• Analysis 101, part 2: Implementing the analytical plan
• Analysis 101, part 3: Sharing your findings
• Analysis 101, part 4: Case study
• Statistics 101: Proportions, ratios and rates

Intermediate

• Statistics 101: Correlation and causality
• Statistics 101: Confidence intervals
• Statistics 101: Statistical Bias
• Machine learning: An introduction
• Framework for responsible machine learning processes at Statistics Canada (publication)

Beginner

• Data Visualization: An Introduction
• Telling the data story: How to create stories that matter

Intermediate

• Data visualization: Best practices (publication)