Economics course materials

Data Analytics with Python

1. Materials

Data Vizualization

1. Materials
2. Calculated Field

Data Science with R

1. final.md

Honor Seminar I

1. Intro

Industrial Organization

1. Intro

Machine Learning

Math for Economist

1. Supply-demand and break-even-analysis
2. System of Linear Equations: Matrices and Economic-Business Application
3. Input-Output Analysis

1. Introduction
2. Supply and Demand
3. Shapes of Supply and Demand curve
4. Consumer theory
5. Firms theory
6. Perfectly competetive market
7. Welfare Economics
8. Monopoly
9. Oligopoly
10. International Trade
11. Capital

International Trade

1. Intro

1. Basics of R
2. Interpreting regression with logarithm
3. Econometric models
5. How regression is used to find answers for questions
6. Economics vocabulary
8. Interaction terms
9. Standard error
10. Fisher test
11. Taxonomy of data
12. Practical issues when running regression
13. Intro to Econometrics
14. Data
15. Basics of linear regression

Economics course materials

honors
README.md

Honor Seminar I

2022, IliasSuvanov Revision 7130d64

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Economics course materials

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