Data Scholar Levels
In order to advance, the activities for each level has to be completed. Some activities are completed via the Open Learning Initiative (OLI) courses (http://oli.cmu.edu/)
The participation activities are voluntarily and are not necessarily towards an academic credential or college degree.
Aspiring Data Scholar
Completion of Data Challenges Training
Metacognitive Activities
CITI Responsible Conduct of Research (RCR) courses
Construction and annotation of data sets
Design and implement interactive visual representations
Annotation exercises
Learning to Learn Online (OLI)
Student Cognition Toolbox
Level 1 Data Scholar
Argument Diagramming (OLI)
Principles of Computing (OLI)
Quantifying Data (OLI)
Introduction to visual design (OLI)
Construction and annotation of data sets
Design and implement interactive visual representations
Annotation exercises
Level 2 Data Scholar
Probability & Statistics (OLI)
Internship or research
Construction and annotation of data sets
Design and implement interactive visual representations
Annotation exercises
Level 3 Data Scholar
Evidence based practice in management and consulting (OLI)
Public Policy Analysis (OLI)
Internship or research
Content Type Annotation and Extraction
Construction and annotation of data sets
Design and implement interactive visual representations
Annotation exercises
Level 4 Data Scholar
Media programming (OLI)
Independent research
Logics and Proofs (OLI)
Cloud Computing (OLI)
Healthcare IT Foundations
Construction and annotation of data sets
Design and implement interactive visual representations
Annotation exercises