Data Analysis Capstone Project - Finance Domain

This capstone project provides an end-to-end, real-world data analysis experience within the Finance domain, leveraging industry-standard tools such as Power BI, SQL, Python, Excel, and Tableau. The project is designed to strengthen analytical, visualization, and problem-solving skills by working on financial datasets and addressing key business challenges.

🔹 Key Highlights:

• Data Extraction & Cleaning: Use SQL and Python to extract, transform, and prepare raw financial data for analysis.
• Exploratory Data Analysis (EDA): Identify trends, outliers, and patterns in financial performance using Python and Excel.
• Data Modeling: Build robust financial models and KPIs to support decision-making.
• Interactive Dashboards: Create compelling and dynamic dashboards using Power BI, Excel and Tableau for financial reporting and insights.
• Business Insights: Derive actionable insights on profitability, expenses, investments, and risk management to support strategic financial decisions.

⚠️ Important Note:

• No video explanation is available for this project.
• You will receive:

✅ Dashboard Files – Power BI (.pbix), Tableau (.twbx), Excel File

✅ SQL – Query Document (import raw data in MS SQL Server and run queries)

✅ Python – Jupyter Notebook (.ipynb)

✅ Raw Data – CSV & Excel files

✅ Background Images and Images used in Dashboards

✅ Problem Statements Document

💰 Refund Policy: Only 25% of the amount is refundable.

📩 Need Help?

Email: [email protected]

WhatsApp: +91 9579005495