Statistical analysis of World Bank data looking into attitudes and behaviours in Somalia during COVID-19.

Some SQL queries written to answer interesting questions about international debt using data from The World Bank.

Analyzing education expenditure with world bank dataset

Do Wealthier Populations Live Longer? A series of visualizations using World Bank development data to explore how GDP per Capita predicts life expectancy across the world.

Forecast of housing prices index in Croatia based on World Bank datasets such as credit interest rates, gdp and consumer power.

By using dynamic panel models, I provide a macro-level understanding of the relationships between a country in conflict, not in conflict, and whether this affects the economic performance in the short and long-term.

☀️ A User Dashboard UI created to indicate WDI World Bank data. This UI can be easily converted and used for other purposes as well. Built using Angular.

Utilizing the World Bank’s Women, Business and the Law Index, along with a few supplemental datasets, I analyzed the presence of laws regarding women’s equality in the workplace and economic and life outcomes in different regions of the world.

Analyzing similarities between countries based on key indicators obtained on World Bank

analysis of world bank data set

Udacity Data Scientist Nanodegree Mini-Project 2 - World Bank Sustainability Dashboard

An analysis on the international debt in the world today. The data contains the information on the amount of debt(in USD) owed by developing countries across several categories.

Analyse des systèmes éducatifs des pays du monde.

Exploration and prediction of economic indicators from World Bank data

Final project for Python course at Hult, conducting analysis utilizing data from World Bank for Southern and Eastern Africa

Match industry with skills, skill with industries.

This is project has been developed as part of the SDG costing project, focusing on data collection to compile an SDG costing model (SFA). It's a is a personal initiative that main purpose is to support the data collection team in its work.

SQL queries to answer interesting questions about international debt using data from The World Bank.

The project aimed to explore and analyze World Bank Loan Data, leveraging Python for data preprocessing and SQL for in-depth queries