Reading, interpreting, and judging data quality, turning numbers and charts into usable insights you share.
Data literacy is the foundational skill of working with data across its full lifecycle: accessing, interpreting, evaluating, visualizing, and communicating insights. It goes beyond reading numbers to encompass critical evaluation of data quality, appropriate visualization, and clear storytelling.
15 data literacy competencies and 6-level proficiency scale from Statistics Canada, providing governmental authority as an accredited data competency standard for checklist domain design.
8-level proficiency scale (Foundation to Highly Specialised) and information/data literacy competency areas providing evidence for checklist item difficulty placement and cognitive level design.
5 competency areas (conceptualize, collect, manage, evaluate, apply) with conceptual-core-advanced 3-tier classification providing academic basis for level boundary setting and checklist difficulty.
Associate (60%), Practitioner (70%), and Master (80% + 10 years experience) three-tier certification system with 14 DMBOK knowledge areas, used to calibrate level boundaries based on progressive depth and breadth of data management competency.
