Welcome to the Data Analytics Project repository! This project leverages the power of Excel, SQL, Python, and Power BI for comprehensive data analysis and visualization. Explore various datasets, analysis scripts, and visualization dashboards to uncover valuable insights across different domains.
Data analytics is a crucial aspect of decision-making in today's data-driven world. This project utilizes Excel, SQL, Python, and Power BI to perform data analysis, from data cleaning and preprocessing to advanced statistical analysis and visualization.
- Excel Analysis: Utilize Excel for data manipulation, basic statistical analysis, and visualization.
- SQL Queries: Perform complex data extraction, transformation, and analysis using SQL queries.
- Python Scripts: Leverage Python for advanced data analysis, machine learning, and predictive modeling.
- Power BI Dashboards: Create interactive and visually appealing dashboards using Power BI for data visualization and exploration.
Explore the project directories to access datasets, analysis scripts, and Power BI dashboards. Each directory contains a README file with instructions on how to use the tools and interpret the analysis results.
Contributions to this project are welcome! Whether you want to add new analyses, improve existing ones, or fix bugs, your contributions are valuable. Please refer to the Contribution Guidelines for more information on how to contribute.
This project is licensed under the MIT License - see the LICENSE file for details.
Feel free to explore the project and engage with the analyses. If you have any questions or suggestions, don't hesitate to reach out. Happy analyzing!