This repository showcases a comprehensive set of Excel-based data analysis projects covering core and advanced functionalities used in real-world business scenarios. It includes hands-on implementations of data cleaning, transformation, and visualization techniques using tools such as Pivot Tables, dashboards, lookup functions, conditional formatting, and data validation.
- Interactive dashboard creation
- Sales/data trend analysis
- KPI tracking using charts and slicers
- Business insight generation
- Use of core Excel formulas
- Logical functions, text functions, and calculations
- Data transformation and manipulation
- Data lookup and retrieval techniques
- Comparison between traditional and advanced lookup methods
- Efficient data mapping across tables
- Data summarization
- Aggregation (SUM, COUNT, AVERAGE)
- Grouping and filtering large datasets
- Multi-level sorting
- Advanced filtering conditions
- Data segmentation
- Highlighting trends and patterns
- Rule-based formatting
- Visual data interpretation
- Input control and restrictions
- Dropdown lists
- Error prevention in datasets
- Data cleaning techniques
- Bulk editing
- Efficient data handling
- Data Cleaning & Preparation
- Data Analysis in Excel
- Dashboard Development
- Pivot Tables & Charts
- VLOOKUP, INDEX, MATCH
- Conditional Formatting
- Data Validation
- Advanced Sorting & Filtering
- Improved ability to analyze large datasets
- Built interactive dashboards for business insights
- Developed structured and efficient data workflows
- Strengthened problem-solving using Excel tools
- Microsoft Excel (Advanced Features)
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