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- Journals and periodicals: 45-20-0003Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.Release date: 2024-08-14
- Journals and periodicals: 89-20-0006Description: 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.Release date: 2024-07-16
- Data Visualization: 71-607-X2020014Description: This map viewer displays select databases released as part of the Linkable Open Data Environment (LODE) initiative.Release date: 2023-05-23
- Stats in brief: 89-20-00062022004Description:
Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.
As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.
Release date: 2022-10-17 - Stats in brief: 89-20-00062022005Description:
In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?
Release date: 2022-10-17 - 6. Data ethics: An introduction ArchivedStats in brief: 89-20-00062022001Description:
Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. To properly conduct these processes, data ethics ethics must be upheld in order to ensure the appropriate use of data.
Release date: 2022-05-24 - 7. FAIR data principles: What is FAIR? ArchivedStats in brief: 89-20-00062022002Description:
This video will break down what it means to be FAIR in terms of data and metadata, and how each pillar of FAIR serves to guide data users and producers alike, as they navigate their way through the data journey, in order to gain maximum, long term value.
Release date: 2022-05-24 - 8. Statistics 101: Confidence intervals ArchivedStats in brief: 89-20-00062022003Description:
By the end of this video you will understand what confidence intervals are, why we use them, and what factors have an impact on them.
Release date: 2022-05-24 - Stats in brief: 89-20-00062020002Description:
This video is intended to teach viewers the differences between three fundamental statistical concepts. First, the mean, then the median and finally, the mode.
Release date: 2021-05-03 - 10. Statistics 101: Exploring measures of dispersion ArchivedStats in brief: 89-20-00062020003Description:
In this module, we will explore the concept of dispersion, also called variability. This concept includes: the range, the interquartile range, the standard deviation and the normal distribution.
Release date: 2021-05-03
Data (1)
Data (1) ((1 result))
- Data Visualization: 71-607-X2020014Description: This map viewer displays select databases released as part of the Linkable Open Data Environment (LODE) initiative.Release date: 2023-05-23
Analysis (20)
Analysis (20) (0 to 10 of 20 results)
- Journals and periodicals: 45-20-0003Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.Release date: 2024-08-14
- Journals and periodicals: 89-20-0006Description: 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.Release date: 2024-07-16
- Stats in brief: 89-20-00062022004Description:
Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. In this video, we will discuss the importance of considering data ethics throughout the process of producing statistical information.
As a pre-requisite to this video, make sure to watch the video titled “Data Ethics: An introduction” also available in Statistics Canada’s data literacy training catalogue.
Release date: 2022-10-17 - Stats in brief: 89-20-00062022005Description:
In this video, you will learn the answers to the following questions: What are the different types of error? What are the types of error that lead to statistical bias? Where during the data journey statistical bias can occur?
Release date: 2022-10-17 - 5. Data ethics: An introduction ArchivedStats in brief: 89-20-00062022001Description:
Gathering, exploring, analyzing and interpreting data are essential steps in producing information that benefits society, the economy and the environment. To properly conduct these processes, data ethics ethics must be upheld in order to ensure the appropriate use of data.
Release date: 2022-05-24 - 6. FAIR data principles: What is FAIR? ArchivedStats in brief: 89-20-00062022002Description:
This video will break down what it means to be FAIR in terms of data and metadata, and how each pillar of FAIR serves to guide data users and producers alike, as they navigate their way through the data journey, in order to gain maximum, long term value.
Release date: 2022-05-24 - 7. Statistics 101: Confidence intervals ArchivedStats in brief: 89-20-00062022003Description:
By the end of this video you will understand what confidence intervals are, why we use them, and what factors have an impact on them.
Release date: 2022-05-24 - Stats in brief: 89-20-00062020002Description:
This video is intended to teach viewers the differences between three fundamental statistical concepts. First, the mean, then the median and finally, the mode.
Release date: 2021-05-03 - 9. Statistics 101: Exploring measures of dispersion ArchivedStats in brief: 89-20-00062020003Description:
In this module, we will explore the concept of dispersion, also called variability. This concept includes: the range, the interquartile range, the standard deviation and the normal distribution.
Release date: 2021-05-03 - Stats in brief: 89-20-00062021001Description:
As Canada's national statistical organization, Statistics Canada is committed to sharing our knowledge and expertise to help all Canadians develop their data literacy skills. The goal is to provide learners with information on the basic concepts and skills with regard to a range of data literacy topics.
The training is aimed at those who are new to data or those who have some experience with data but may need a refresher or want to expand their knowledge. We invite you to check out our Learning catalogue to learn more about our offerings including a great collection of short videos. Be sure to check back regularly as we will be continuing to release new training.
Release date: 2021-05-03
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