The Statistics Canada Data Literacy Training Initiative Releases New Videos
A new suite of training videos from the Data Literacy Training Initiative is now available.
In the spring of 2022, the Data Literacy Training Initiative released a video titled “Data ethics: An introduction,” and today, Statistics Canada is pleased to offer a deeper dive into the subject of data ethics with the release of “Data ethics part 2: Ethical reviews.” This video demonstrates how Statistics Canada applies data ethics principles by raising potential ethical considerations throughout the data journey. it will also walk you through an example of a potential use case.
As part of our “Statistics 101” series, a new video titled “Statistics 101: Statistical Bias” is also available today. This video explains the concept of statistical bias, which occurs when there are problems with the way the data were collected, analyzed or modelled, resulting in statistics that differ systematically from the reality they are trying to measure.
Statistics Canada’s Data Literacy Training Initiative provides a wealth of resources aimed at those who are new to data or at those who have some experience with data but may need a refresher or want to expand their knowledge. Find these and other training resources in the Data Literacy Training Initiative’s growing learning catalogue.
Be sure to check back regularly as Statistics Canada continues to release new training, or subscribe to My StatCan to automatically receive email notifications on the latest data releases.
About Gary Price
Gary Price (firstname.lastname@example.org) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.