Earning Criteria

• • Articulate (or identify) why data literacy is important and differentiate between being data-driven vs. data-informed.
• • Distinguish between different types of data (quantitative, qualitative) and know which kind of data to use for different problems/questions.
• • Recognize why institutions collect data as well as what type of data are typically collected.
• • Differentiate between ethical and unethical use of data.
• • Recognize the best practices behind collecting and using data and why it is important for data to be transformed into actionable information to guide decisions.
• • Demonstrate an ability to work with data both individually and collaboratively.