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.
- Applied techniques for handling missing values, outliers, and transforming data into usable formats.
- Utilized libraries like
pandas,numpy,matplotlib,seaborn, and more for data manipulation, analysis, and visualization.
- Gained insights from datasets using statistical methods and visualizations.
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!