The data literacy learning catalogue is organized by the step on the data journey and can be sorted by title, data competency, level, and type.
If you are new to data literacy, we suggest starting with the following videos:
- The Data Journey: What you need to know for successful navigation
- What is Data? An Introduction to Data Terminology and Concepts
- Types of Data: Understanding and Exploring Data
- Data Quality in Six Dimensions
Define – Find – Gather

Define – Find – Gather
Title | Competency | Level | Type |
---|---|---|---|
Gathering Data: Things to Consider Before Gathering Data Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This video introduces you to things you should consider when gathering data. |
Data gathering | Basic | Video |
Surveys from Start to Finish Workshop on the steps of the survey process including questionnaire wording, sample design and interpreting survey results. |
Data gathering | Basic | Workshop |
Explore – Clean – Describe

Explore – Clean – Describe
Title | Competency | Level | Type |
---|---|---|---|
Census learning centre These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge. |
|
Basic | Video |
Data Accuracy and Validation: Methods to ensure the quality of data In this video we will present methods to describe accuracy in terms of validity and correctness. |
|
Basic | Video |
Statistics 101: Exploring measures of dispersion By the end of this video, you should have a basic understanding of such measures of dispersion as range, interquartile range, standard deviation. |
|
Basic | Video |
Statistics 101: Statistical Bias In this video, we will explain the concept of statistical bias, which occurs when statistics differ systematically from the reality they are trying to measure because of problems with the way the data were produced. |
|
Basic | Video |
Types of Data: Understanding and Exploring Data It is important to define the different types of data and understand them in order to choose the appropriate method for analyzing the data and presenting the results. |
Data gathering | Basic | Video |
Analyze – Model

Analyze – Model
Title | Competency | Level | Type |
---|---|---|---|
Analysis 101, part 1: Making an analytical plan This video is intended for learners who want to acquire a basic understanding of analysis. No previous knowledge is required. |
Data analysis | Basic | Video |
Analysis 101, part 2: Implementing the analytical plan Now that we've learned how to plan an analytical project, we'll discuss best practices for implementing your plan. Please watch "Analysis 101, part 1" before you start. |
Data analysis | Basic | Video |
Analysis 101, part 3: Sharing your findings Now that we've learned how to plan an analytical project and perform the analysis, we'll discuss best practices for interpreting and sharing your findings. |
Data analysis | Basic | Video |
Analysis 101, part 4: Case study In this video, we will review the steps of the analytical process and you will obtain a better understanding of how analysts apply each step of the analytical process by walking through an example. Please watch the previous Analysis 101 videos before you start. |
Data analysis | Basic | Video |
Analysis 101: How to read a table By the end of this video, you will have a better understanding of why data tables are important, how data tables are structured and how to interpret data quality indicators within a table. |
Data analysis, Data interpretation | Basic | Video |
Framework for Responsible Machine Learning Processes at Statistics Canada This document is a handbook for practitioners developing and implementing Machine Learning (ML) processes. It provides guidance and practical advice on how to responsibly develop these automated processes. |
|
Intermediate | Publication |
Introduction to Basic Statistics Workshop on statistical measures such as percentages, averages, frequency and standard error. |
Data interpretation | Basic | Workshop |
Machine learning: An introduction Welcome to machine learning: an introduction. Here, we will explain the basic concepts of machine learning, and include a framework for responsible machine learning processes. |
|
Intermediate | Video |
QGIS Training Videos Follow along with these tutorials and learn the key concepts and procedures for performing common GIS tasks - such as creating maps, joining and overlaying datasets, and examining spatial variations. |
|
|
Video |
Statistics 101: Correlation and causality This video is intended for viewers who wish to gain a basic understanding of correlation and causality. As a prerequisite, before beginning this video, we highly recommend having already completed our videos titled "what is data" and "types of data". |
|
Basic | Video |
Statistics 101: Proportions, ratios and rates This video will introduce you to the concepts of proportions, ratios, and rates – and the differences between them. |
|
Basic | Video |
Tell the story

Tell the story
Title | Competency | Level | Type |
---|---|---|---|
Census learning centre These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge. |
|
Basic | Video |
Data Visualization Best Practices When used properly, charts (including figures and diagrams) can simplify the presentation of information and the communication of clear and precise messages. However, with the wide range of options available, creating effective charts can be complex. This reference tool is intended to provide a basic guide to creating effective charts that take advantage of the options available. |
|
Basic | Publication |
Data Visualization: An Introduction This video will provide an introductory overview of data visualization and how you might be able to use it to tell your story. |
|
Basic | Video |
Making Sense of Survey Data Workshop on probability survey results, including: impact of survey process on results, how to review data, when to use survey weights, and presenting the story. |
Data interpretation | Intermediate | Workshop |
Telling the data story: How to create stories that matter This video is meant to help learners understand how to tell interesting and informative stories with data. |
|
Basic | Video |
Turning Statistics into Stories Workshop on using statistics to present your story and put numbers into a context to help your audience understand your messages. |
Data interpretation | Basic | Workshop |
Foundation

Foundation: Stewardship – Metadata – Standards – Quality
Title | Competency | Level | Type |
---|---|---|---|
Census learning centre These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge. |
|
Basic | Video |
Data ethics: An introduction An introduction to data ethics, why they are important, and the 6 guiding principles of data ethics implemented by Statistics Canada. |
|
Basic | Video |
Data ethics part 2: Ethical reviews What are ethical reviews? How do ethical reviews help Statistics Canada apply data ethics principles throughout the data journey? Using a case example, this video will show you how Statistics Canada uses ethical reviews to apply data ethics principles throughout the data journey. |
|
Basic | Video |
Data Journey: What you need to know for successful navigation In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it. |
|
Basic | Video |
Data Quality as Fitness for Use This course is intended for Government of Canada employees who would like to learn about evaluating the quality of data for a particular use. |
Evaluating data quality | Intermediate | Course |
Data quality in six dimensions An introduction to the fundamentals of data quality, which can be summed up in six dimensions—or six different ways to think about quality. Learn how each dimension can be used to evaluate the quality of data. |
Evaluating data quality | Basic | Video |
Data quality toolkit This toolkit raises awareness about data quality assurance practices. |
Evaluating data quality | Intermediate | Tool |
Data Stewardship: An introduction Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This video introduces you to things you should consider when gathering data. |
Data gathering | Basic | Video |
Data Stewardship: An introduction to data standards and metadata Whether you're gathering new data or using existing data, applying data standards will make your life easier. And documenting your data in metadata will ensure that others will be able to find it, understand it, and use it. |
|
Basic | Video |
FAIR data principles: What is FAIR? What does it means to be FAIR in terms of data and metadata, and how does each pillar of FAIR serve to guide data users and producers as they navigate their way through the data journey. |
|
Basic | Video |
Statistics 101: Confidence intervals What are confidence intervals? Why do we use confidence intervals? What factors have an impact on a confidence interval? |
|
Basic | Video |
Statistics 101: Statistical Bias In this video, we will explain the concept of statistical bias, which occurs when statistics differ systematically from the reality they are trying to measure because of problems with the way the data were produced. |
|
Basic | Video |
Statistics: Power from Data! This web resource was created to assist secondary students and teachers in getting the most from statistics. |
|
Basic | Publication |
What is Data? An Introduction to Data Terminology and Concepts This video will introduce some basic terminology and concepts related to data. |
Data awareness | Basic | Video |
All





All
Title | Competency | Level | Type |
---|---|---|---|
Analysis 101, part 1: Making an analytical plan This video is intended for learners who want to acquire a basic understanding of analysis. No previous knowledge is required. |
Data analysis | Basic | Video |
Analysis 101, part 2: Implementing the analytical plan Now that we've learned how to plan an analytical project, we'll discuss best practices for implementing your plan. Please watch "Analysis 101, part 1" before you start. |
Data analysis | Basic | Video |
Analysis 101, part 3: Sharing your findings Now that we've learned how to plan an analytical project and perform the analysis, we'll discuss best practices for interpreting and sharing your findings. |
Data analysis | Basic | Video |
Analysis 101, part 4: Case study In this video, we will review the steps of the analytical process and you will obtain a better understanding of how analysts apply each step of the analytical process by walking through an example. Please watch the previous Analysis 101 videos before you start. |
Data analysis | Basic | Video |
Analysis 101: How to read a table By the end of this video, you will have a better understanding of why data tables are important, how data tables are structured and how to interpret data quality indicators within a table. |
Data analysis, Data interpretation | Basic | Video |
Census learning centre These videos are a reference source for users who are new to census concepts or those who have some experience with these concepts, but may need a refresher or would like to expand their knowledge. |
|
Basic | Video |
Data Accuracy and Validation: Methods to ensure the quality of data In this video we will present methods to describe accuracy in terms of validity and correctness. |
|
Basic | Video |
Data ethics: An introduction An introduction to data ethics, why they are important, and the 6 guiding principles of data ethics implemented by Statistics Canada. |
|
Basic | Video |
Data ethics part 2: Ethical reviews What are ethical reviews? How do ethical reviews help Statistics Canada apply data ethics principles throughout the data journey? Using a case example, this video will show you how Statistics Canada uses ethical reviews to apply data ethics principles throughout the data journey. |
|
Basic | Video |
Data Journey: What you need to know for successful navigation In this video you will learn about the steps and activities in the data journey, as well as the foundation supporting it. |
|
Basic | Video |
Data Quality as Fitness for Use This course is intended for Government of Canada employees who would like to learn about evaluating the quality of data for a particular use. |
Evaluating data quality | Intermediate | Course |
Data quality in six dimensions An introduction to the fundamentals of data quality, which can be summed up in six dimensions—or six different ways to think about quality. Learn how each dimension can be used to evaluate the quality of data. |
Evaluating data quality | Basic | Video |
Data quality toolkit This toolkit raises awareness about data quality assurance practices. |
Evaluating data quality | Intermediate | Tool |
Data stewardship: An introduction Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This video introduces you to things you should consider when gathering data. |
Data gathering | Basic | Video |
Data Stewardship: An introduction to data standards and metadata Whether you're gathering new data or using existing data, applying data standards will make your life easier. And documenting your data in metadata will ensure that others will be able to find it, understand it, and use it. |
|
Basic | Video |
Data Visualization Best Practices When used properly, charts (including figures and diagrams) can simplify the presentation of information and the communication of clear and precise messages. However, with the wide range of options available, creating effective charts can be complex. This reference tool is intended to provide a basic guide to creating effective charts that take advantage of the options available. |
|
Basic | Publication |
Data Visualization: An Introduction This video will provide an introductory overview of data visualization and how you might be able to use it to tell your story. |
|
Basic | Video |
FAIR data principles: What is FAIR? What does it means to be FAIR in terms of data and metadata, and how does each pillar of FAIR serve to guide data users and producers as they navigate their way through the data journey. |
|
Basic | Video |
Framework for Responsible Machine Learning Processes at Statistics Canada This document is a handbook for practitioners developing and implementing Machine Learning (ML) processes. It provides guidance and practical advice on how to responsibly develop these automated processes. |
|
Intermediate | Publication |
Gathering Data: Things to Consider Before Gathering Data Data gathering involves first determining what data you need, then where to find it, how to get it and how to keep it safe. This video introduces you to things you should consider when gathering data. |
Data gathering | Basic | Video |
Introduction to Basic Statistics Workshop on statistical measures such as percentages, averages, frequency and standard error. |
Data interpretation | Basic | Workshop |
Making Sense of Survey Data Workshop on probability survey results, including: impact of survey process on results, how to review data, when to use survey weights, and presenting the story. |
Data interpretation | Intermediate | Workshop |
QGIS Training Videos Follow along with these tutorials and learn the key concepts and procedures for performing common GIS tasks - such as creating maps, joining and overlaying datasets, and examining spatial variations. |
|
|
Video |
Machine learning: An introduction Welcome to machine learning: an introduction. Here, we will explain the basic concepts of machine learning, and include a framework for responsible machine learning processes. |
|
Intermediate | Video |
Statistics 101: Confidence intervals What are confidence intervals? Why do we use confidence intervals? What factors have an impact on a confidence interval? |
|
Basic | Video |
Statistics 101: Correlation and causality This video is intended for viewers who wish to gain a basic understanding of correlation and causality. As a prerequisite, before beginning this video, we highly recommend having already completed our videos titled "what is data" and "types of data". |
|
Basic | Video |
Statistics 101: Exploring measures of central tendency This video is intended for learners who want to acquire a basic understanding of the concept of central tendency, what it means and some key related methods used for the exploration of data. |
|
Basic | Video |
Statistics 101: Exploring measures of dispersion By the end of this video, you should have a basic understanding of such measures of dispersion as range, interquartile range, standard deviation. |
|
Basic | Video |
Statistics 101: Proportions, ratios and rates This video will introduce you to the concepts of proportions, ratios, and rates – and the differences between them. |
|
Basic | Video |
Statistics 101: Statistical Bias In this video, we will explain the concept of statistical bias, which occurs when statistics differ systematically from the reality they are trying to measure because of problems with the way the data were produced. |
|
Basic | Video |
Statistics: Power from Data! This resource was created to assist secondary students and teachers in getting the most from statistics. |
|
Basic | Publication |
Surveys from Start to Finish Workshop on the steps of the survey process including questionnaire wording, sample design and interpreting survey results. |
Data gathering | Basic | Workshop |
Telling the data story: How to create stories that matter This video is meant to help learners understand how to tell interesting and informative stories with data. |
|
Basic | Video |
Turning Statistics into Stories Workshop on using statistics to present your story and put numbers into a context to help your audience understand your messages. |
Data interpretation | Basic | Workshop |
Types of Data: Understanding and Exploring Data It is important to define the different types of data and understand them in order to choose the appropriate method for analyzing the data and presenting the results. |
Data gathering | Basic | Video |
What is Data? An Introduction to Data Terminology and Concepts This video will introduce some basic terminology and concepts related to data. |
Data awareness | Basic | Video |