This guide is for information and resources on data and data literacy.
Data is defined as "a raw form of information that may be difficult to interpret, includes numbers, letters, words, images, or any other material that contains knowledge."
Dziak, Mark. “Data Literacy.” Salem Press Encyclopedia, 2021.
Data literacy refers to the ability to work with data in the following ways:
Dziak, Mark. “Data Literacy.” Salem Press Encyclopedia, 2021.
Data analysis is the statistical and logical technique used to interpret and evaluate data. It includes collecting, formatting, cleaning, and processing data as well as analysis and interpretation.
“Data literacy explained: Definition, importance, examples, and more.” Tableau, 2024.
Data visualization is the graphical representation of information in different forms, such as charts, graphs, maps, etc.
“Data literacy explained: Definition, importance, examples, and more.” Tableau, 2024.
Data management is the entire process of collecting, vetting, and storing data.
“Data literacy explained: Definition, importance, examples, and more.” Tableau, 2024.
If you want to build dashboards or complex data analysis programs, you need to understand and use programming languages. Some of the best for data work include Python, R, and SQL.
“Data literacy explained: Definition, importance, examples, and more.” Tableau, 2024.