Advanced Data Analysis Using Excel

About Course
π§± Course Modules & Topics
πΉ Module 1: Data Preparation and Cleaning
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Advanced data import (from text, web, databases)
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Data validation techniques
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Cleaning and transforming data using Power Query
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Dealing with missing, duplicate, or inconsistent data
πΉ Module 2: Advanced Excel Functions for Analysis
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Nested IF, INDEX-MATCH, XLOOKUP
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TEXT, DATE, and LOGICAL functions
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Statistical functions (AVERAGEIFS, COUNTIFS, STDEV, etc.)
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Dynamic named ranges and arrays
πΉ Module 3: Data Summarization with Pivot Tables
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Creating and customizing PivotTables
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Grouping, filtering, and drilling down data
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Calculated fields and PivotCharts
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Slicers and Timelines for interactive filtering
πΉ Module 4: Advanced Charting and Dashboards
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Combo charts, dynamic charts, and conditional formatting
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Sparklines and KPI indicators
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Building interactive dashboards with form controls
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Linking charts to PivotTables or data models
πΉ Module 5: What-If Analysis and Modeling
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Scenario Manager, Goal Seek, and Data Tables
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Forecasting and trend analysis
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Sensitivity analysis for business planning
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Solver for optimization problems
πΉ Module 6: Power Query and Power Pivot
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Introduction to Power Query Editor
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Merging and appending queries
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Creating data models using Power Pivot
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DAX basics: Calculated columns, measures, and KPIs
πΉ Module 7: Automating Reports with Macros (Optional)
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Recording simple macros
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Automating repetitive tasks
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Introduction to VBA for advanced users
πΉ Module 8: Final Project
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Choose one real-world dataset (e.g., sales, HR, finance)
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Apply advanced functions, PivotTables, charts, and modeling
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Build an interactive dashboard and summary report
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Present insights and recommendations