# 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:

Find – Gather – Protect

### Find – Gather – Protect

Find · Gather · Protect 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
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 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
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
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
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 the story

Tell the story catalogue
Title Competency Level Type
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
Data interpretation Basic Workshop
Foundation

### Foundation: Stewardship – Metadata – Standards – Quality

Foundation: Stewardship – Metadata – Standards – Quality catalogue
Title Competency Level Type
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 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
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
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
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 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 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
Basic Video
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
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
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: 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
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