Covid-19 data science study
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COVID-19 Data Science Study
Conducted comprehensive analysis of combined effects of COVID-19 and geopolitical conflicts on economic stability. Utilized Jupyter Notebooks for data cleaning, exploratory analysis, and pattern recognition. Created visualizations using Seaborn and Matplotlib to illustrate trends.
Python Jupyter Notebooks Pandas NumPy Seaborn Matplotlib Data Science
Project Demo
Project Overview
A comprehensive data science study analyzing the intersection of COVID-19 pandemic effects and geopolitical conflicts on global economic stability.
Analysis Components
- Multi-source data integration
- Exploratory data analysis
- Pattern recognition and trend identification
- Statistical visualization
- Economic impact assessment
Tools & Techniques
- Data Processing: Pandas, NumPy
- Visualization: Seaborn, Matplotlib
- Environment: Jupyter Notebooks
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