Welcome to my Data Analysis repository! This space contains my academic and personal projects as I explore and improve my skills in data analysis, data science, and data visualization.
This repository is dedicated to learning, practicing, and showcasing work related to:
- Data cleaning and transformation
- Exploratory Data Analysis (EDA)
- Data visualization
- Business intelligence
- Statistical analysis
- Machine learning fundamentals
Throughout the repository, you may find work using:
- Microsoft Excel
- Power BI
- Microsoft Access
- Python (pandas, matplotlib, seaborn, scikit-learn)
- SQL
- Google Sheets
- And other data-related platforms or languages.
Each folder in this repository represents a specific project or topic. Some projects are academic assignments, while others are personal initiatives to dive deeper into data.
This repository is a work in progress and will be continuously updated with new exercises and challenges as I learn more.
Feel free to explore the different projects and reach out if you have any questions or feedback!