- About
- Prospective Students
- Undergraduate
- Graduate
- Programs
- Courses
- Mini course
- Advising
- Awards & funding
- Herbert G. Grubel Award
- James Dean Award
- Lang Wong Memorial Endowment Scholarship
- Meiyu Li Memorial Scholarship in Economics
- Peter Kennedy Memorial Graduate Entrance Scholarship in Economics
- Peter Kennedy Memorial Graduate Fellowship
- Richard G. Lipsey Award
- Terry Heaps Outstanding Teaching Assistant Award
- Shiva and Elizabeth Nanda Graduate Fellowship in Economics
- Shiva and Elizabeth Nanda Graduate Scholarship in Economics
- Job market candidates
- Graduate student profiles
- Student publications
- Research
- Community
- Department Login
Data Visualization and Analysis
These educational goals apply to the following courses:
- ECON 334: Data Visualization and Economic Analysis
- ECON 335: Cause and Effect in Economic Data
*Note: I = skill to be introduced in the course; D = skill to be further developed
Analyze and Interpret economic data
- Conduct statistical and/or quantitative analysis using a computer (I)
- Apply quantitative tools learnt in core courses to analyze issues related to the course's subject area (I)
- Interpret statistical evidence and methodology (I/D)
- Interpret empirical evidence related to topics studied in the course's subject area (I/D)
Critically assess economic arguments, assumptions, and evidence
- Critically evaluate assumptions in economic/econometric models (I/D)
Use oral, written, and graphical methods to communicate economic insights
- Present economic arguments by means of graphs, charts and tables (D)
- Use multiple methods in combination to communicate economic insights (D)
Use economic concepts to understand real-world human activity and public policy
- Evaluate current events using tools of economics (D)
Data Visualization and Analysis Electives Educational Goals.pdfData Visualization and Analysis Electives