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Here you can find all the 8 projects of WorldQuant's Data Science Program along with my certification. I had no references to get clues from when studying this program so I hope this proves handy to others.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques to real estate data from Buenos Aires, exploring property size, location, prices, and neighborhood differences to reveal housing market patterns.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques on volatility testing in India, analyzing market fluctuations, financial indicators, and regional trends to uncover patterns in economic and stock market volatility.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques on earthquake data from Nepal, analyzing magnitude, depth, location, and regional differences to uncover patterns in seismic activity.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques on bankruptcy data from Poland, analyzing company financials, industry sectors, and regional differences to uncover patterns and trends in corporate insolvency.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques on U.S. consumer finance data, exploring income, expenses, savings, debts, and spending patterns to reveal financial behavior and trends across different demographic groups.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques to air quality data from Nairobi, analyzing pollutant concentrations, temporal patterns, and spatial differences to uncover trends in urban air pollution.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques on Mexican real estate data, exploring property size, location, prices, and regional differences to reveal housing market patterns.
This project, completed at WorldQuant University Data Science Labs, applies data science techniques to AB testing experiments, analyzing user behavior, conversion rates, and variant performance to uncover actionable insights and optimize decision-making.