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- 1. Data ethics part 2: Ethical reviews ArchivedStats 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...
Release date: 2022-10-17 - 2. Statistics 101: Statistical Bias ArchivedStats 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...
Release date: 2022-10-17 - 3. 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...
Release date: 2022-05-24 - 4. 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...
Release date: 2022-05-24 - 5. 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 - 7. 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...
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...
Release date: 2021-05-03 - 9. Statistics 101: Correlation and Causality ArchivedStats in brief: 89-20-00062021002Description:
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...
Release date: 2021-05-03 - 10. Machine learning: An introduction ArchivedStats in brief: 89-20-00062021004Description:
One important distinction we will make in this video is the differences between Data Science, Artificial Intelligence and Machine Learning. You'll learn what machine learning can be...
Release date: 2021-05-03
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