LibGuides: Mathematics and Statistics: Understanding Data

Data Literacy

Data literacy is the ability to derive meaningful information from data. It focuses on the competencies involved in working with data including the knowledge and skills to read, analyze, interpret, visualize and communicate data as well as understand the use of data in decision-making.

Data literacy also means having the knowledge and skills to be a good data steward including the ability to assess the quality of data, protect and secure data, and their responsible and ethical use. (Statistics Canada, n.d.)

Data Literacy Training Resources

Statisitics Canada - 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.
Data Visualization
There are so many ways to visualise data - how do we know which one to pick? Check this page by Tableau and learn which forms of visualization are recommended depending on your purposes.
Writing with Statisitics - Purdue OWL
This guide is not meant to teach you statistics, but rather how to use statistics more effectively in your writing. This guide is designed to help you understand both how to write using other people's statistics, and how to write using your own statistics.

Statistics Definition - A memory game!

Statistics Definitons by Hyla Davis is licensed under a/an Creative Commons Attribution-NonCommercial (CC BY-NC 4.0), except where otherwise noted