🚀 Data Analysis Projects

These are 4 data analysis projects I completed during my learning journey with Python. Though they were created some time ago, they significantly contributed to my understanding of essential data analysis concepts.

🧹 Data Cleaning

• Applied techniques for handling missing values, outliers, and transforming data into usable formats.

📊 Important Python Libraries

• Utilized libraries like pandas, numpy, matplotlib, seaborn, and more for data manipulation, analysis, and visualization.

🔍 Exploratory Data Analysis (EDA)

• Gained insights from datasets using statistical methods and visualizations.

🎓 Learning Focus

These projects helped me dive deeper into:

• Data preprocessing techniques
• Effective data visualization
• Improving data analysis workflows

Feel free to explore the repositories to see my approach and learning journey!