ECON 2200 - Introduction to Economic Data Analysis Using Python

• Students will be able to interpret data from both microeconomic and macroeconomic activities, economic relationships outlined with economic models, descriptive statistics and results from various statistical models or machine learning algorithms.
• Students will be able to convert economic data into various types of graphs, create new economic variables, formulate statistical models, and compile the empirical results utilizing Python libraries such as pandas, Matplotlib, and seaborn.
• Students will be able to calculate economic measures, descriptive statistics, perform estimation on regression models or machine learning algorithms, and resampling bootstrapped empirical distributions, utilizing Python libraries.
• Students will be able to make judgments and draw appropriate conclusions based on the quantitative analysis of economic and financial data while recognize the limits of their analysis due to data quality, potential biases, and overgeneralizations.
• Students will be able to make and critically assess assumptions in analyzing data across various economic scenarios, while recognizing the impact of assumptions and economic contexts on the results and conclusions of economic data analysis.
• Students will be able to express quantitative evidence, including graphs and tables of statistical results compiled using Python, to support economic arguments or the purpose of their economic analysis.
• Students will be able to critically state, describe, and analyze an issue in various economic contexts, by evaluating data quality, assessing potential biases, and considering relevant economic theories.
• Students will be able to use economic data from various sources, with sufficient interpretation and evaluation through data curation, visualization, and modeling using Python, to develop a comprehensive analysis or synthesis.
• Students will be able to state an economic hypothesis that is thoughtful, recognizes complexities, and acknowledges limitations in various economic contexts.
• Students will be able to state conclusions and related outcomes of economic analysis logically and in priority order, by analyzing economic data and deriving economic policy implications.