Digital Literacy Fundamentals

Issued by Northeastern University

Participants learned the importance of data and data literacy. They identified when data had sufficient context. They defined data terms and how to use them. They identified features of data visualizations and how to detect biased/misleading ones.

Type Experience
Level Intermediate

Skills

Data Literacy
Evaluating Context
Evaluating Data Visualizations
Interpreting Data
Interpreting Statistical And Data Language
Understanding Data
Using Statistical And Data Language Correctly

Earning Criteria

Identified the nature and role of data in the contemporary workplace and society
Evaluated data for the presence/sufficiency of contextual information
Differentiated among uses and misuses of data and statistics terminology
Evaluated data visualizations for bias, deception, and unethical intent
Reflected on own growth in Data Literacy and use of new data skills and knowledge in his/her personal and/or professional life