Data Literacy ~ Data Analysis
Data Analysis
The knowledge and skills required to ask and answer a range of questions by analyzing data including developing an analytical plan; selecting and using appropriate statistical techniques and tools; and interpreting, evaluating and comparing results with other findings. (Statistics Canada, 2020). Eg. predictive and prescriptive analytics.
Relevant Links
These links are typically articles defining data literacy that include this theme in their definition.
, Canada.ca, 2021;, L. Heeley, S. Wilkinson, Joint Nature Conservation Committee, Gov.uk, 2018;, Statistics Canada, Canada.ca, 2020;, Open Data Institute, 2020;, Alan D. Duncan, Donna Medeiros, Aron Clarke, Sally Parker, Gartner, 2021;, Gartner, 2019;, Apolitical, 2021;, Learn2Analyze, 2017;, Chantel Ridsdale, et.al., Dalhousie University, 2015;, Databilities, Data to the People, 2020;, Annika Wolff, Daniel Gooch, Jose J. Cavero Montaner, Umar Rashid, Gerd Kortuem, 2016;, Helena Sternkopf, Roland M. Mueller, University of Hawai'i at Manoa, Proceedings of the 51st Hawaii International Conference on System Sciences, 2018;, Andreas Grillenberger, Ralf Romeike, Proceedings of the 13th Workshop in Primary and Secondary Computing Education, 2018;, Edith Gummer, Ellen B. Mandinach, Teachers College Record, 2015;, Australian Public Service Commission, Government of Australia, 2021;, Dave Wells, Eckerson Group, 2022;, Van Andel Education Institute, ;