Learning catalogue

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:

Define – Find – Gather

Define – Find – Gather

Define – Find – Gather catalogue
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

Explore – Clean – Describe catalogue
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.
  • Data analysis
  • Data exploration
  • Data interpretation
  • Data tools
 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.
  • Data cleaning
  • Data discovery
  • Data quality evaluation
 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.
  • Data exploration
  • Data interpretation
 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.
  • Data analysis
  • Data quality evaluation
  • Identifying problems using data
 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

Analyze catalogue
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.
  • Data exploration
  • Data gathering
  • Data interpretation
 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.
  • Data exploration
  • Data gathering
  • Data interpretation
  • Data modeling
  • Evidence based decision-making
 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.
  • Data exploration
  • Data modeling
  • Data visualisation
  • Intermediate
  • Advanced
 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".
  • Data analysis
  • Data driven decision making
  • Data exploration
  • Data interpretation
  • Data modeling
  • Data visualisation
 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.
  • Data exploration
  • Data interpretation
 Basic Video
Tell the story
Tell

Tell the story

Tell the story catalogue
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.
  • Data analysis
  • Data exploration
  • Data interpretation
  • Data tools
 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.
  • Data visualisation
  • Storytelling
 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.
  • Data visualisation
  • Storytelling
 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.
  • Data interpretation
  • Data visualisation
  • Storytelling
 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

Foundation: Stewardship – Metadata – Standards – Quality catalogue
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.
  • Data analysis
  • Data exploration
  • Data interpretation
  • Data tools
 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.
  • Data security and governance
  • Data stewardship
 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.
  • Data quality evaluation
  • Data security and governance
  • Data stewardship
 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.
  • Data discovery
  • Data management and organization
 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.
  • Data analysis
  • Data interpretation
  • Data management and organization
  • Data stewardship
  • Metadata creation and use
 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.
  • Data stewardship
  • Metadata creation and Use
 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?
  • Data analysis
  • Data interpretation
 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.
  • Data analysis
  • Data quality evaluation
  • Identifying problems using data
 Basic Video
Statistics: Power from Data!
This web resource was created to assist secondary students and teachers in getting the most from statistics.
  • Data analysis
  • Data awareness
 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

All catalogue
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.
  • Data analysis
  • Data exploration
  • Data interpretation
  • Data tools
 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.
  • Data cleaning
  • Data discovery
  • Data quality evaluation
 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.
  • Data security and governance
  • Data stewardship
 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.
  • Data quality evaluation
  • Data security and governance
  • Data stewardship
 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.
  • Data discovery
  • Data management and organization
 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.
  • Data analysis
  • Data interpretation
  • Data management and organization
  • Data stewardship
  • Metadata creation and use
 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.
  • Data visualisation
  • Storytelling
 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.
  • Data visualisation
  • Storytelling
 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.
  • Data stewardship
  • Metadata creation and Use
 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.
  • Data exploration
  • Data gathering
  • Data interpretation
 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.
  • Data exploration
  • Data modeling
  • Data visualisation
  • Basic
  • Intermediate
  • Advanced
 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.
  • Data exploration
  • Data gathering
  • Data interpretation
  • Data modeling
  • Evidence based decision-making
 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?
  • Data analysis
  • Data interpretation
 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".
  • Data analysis
  • Data driven decision making
  • Data exploration
  • Data interpretation
  • Data modeling
  • Data visualisation
 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.
  • Data exploration
  • Data interpretation
 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.
  • Data exploration
  • Data interpretation
 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.
  • Data exploration
  • Data interpretation
 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.
  • Data analysis
  • Data quality evaluation
  • Identifying problems using data
 Basic Video
Statistics: Power from Data!
This resource was created to assist secondary students and teachers in getting the most from statistics.
  • Data analysis
  • Data awareness
 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.
  • Data interpretation
  • Data visualisation
  • Storytelling
 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

Defintions of types

Reference

Publications and guiding documents to help you understand, analyse and interpret data.

Tool

Applications and checklists that help understand, analyse and interpret data.

Video

Visual presentation that explore topics of interest. They give users a better understanding of a given topic without requiring them to attend an in-class session.

Webinar

Free introductory webinars provide basic instruction and useful tips to help users navigate the Statistics Canada website, access the data they need, and learn about our latest products. These presentations are geared towards beginners and more casual users.

Workshop

Workshops provide in-depth training on a variety of topics, including survey development and design, introductory statistics, and conducting analysis as well as accessing and using economic and social statistical products. These sessions are 1-3 days long and are taught by knowledgeable and experienced Statistics Canada staff at regional offices around the country. Workshopes are ideal for those who wish to deepen their knowledge.

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