Econometrics and quantitative analysis

Related Courses: Econometrics, Statistics, Linear Algebra, Game theory, Micro/Macro Theory
Industrial Organization, Health Econ, Labor Econ

Skills & Coursework:
Skills: SQL, Python (pandas, NumPy, matplotlib, seaborn, scikit-learn), Jupyter Notebooks R, STATA, Excel, Tableau

Statistical Techniques: hypothesis testing, A/B testing, T-test, Z-test

ML: Regression, Classification, Clustering

Database: MySQL, PostgreSQL

Coursework: Econometrics, Statistics, Linear Algebra, Game theory, Micro/Macro Theory
Industrial Organization, Health Econ, Labor Econ

Certificate

Udemy Complete Python Bootcamp From Zero to Hero

Udemy Complete SQL Bootcamp From Zero to Hero

Brain Station Online Data Science Bootcamp

Project
New York City Airbnb Open Data Analysis- XGBoost
Use data packages such as panda NumPy seaborn scikit-learn to perform data analysis and visualization and price prediction in Python, by applying the XGBoost ML model.

Online C2C Store Seller Data Analysis – Decision Tree
Collect data, clean data, visualize data, use decision tree, regression and other methods to analyze seller sales using R

The Effects of Economic Indicators on the Corruption Index – Regression
Collect data from 100+ countries, visualize data, analyze the relationship between econ indicators and corruption index using STATA