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Admission
Advanced Excel with AI Integration
Curriculum
6 Sections
30 Lessons
30 Hours
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Module 1: Advanced Excel Functions & Formulas (5 Hours)
5
1.1
Complex formulas: VLOOKUP, HLOOKUP, INDEX-MATCH, IFERROR
1.2
Dynamic arrays and advanced conditional formulas
1.3
Nested formulas and logical operations for real-world problems
1.4
Lookup & reference across multiple sheets and workbooks
1.5
Scenario-based exercises
Module 2: Data Analysis & Transformation (5 Hours)
5
2.1
Data cleaning, normalization, and validation
2.2
Using Power Query for advanced data manipulation
2.3
Merging and appending datasets efficiently
2.4
Introduction to tables, named ranges, and structured references
2.5
Hands-on exercises with real datasets
Module 3: PivotTables, Pivot Charts & Dashboards (5 Hours)
5
3.1
Creating and customizing PivotTables for insights
3.2
Advanced PivotTable techniques: grouping, calculated fields, and slicers
3.3
Dynamic Pivot Charts and data visualization principles
3.4
Dashboard design best practices
3.5
Interactive report exercises
Module 4: AI Integration in Excel (5 Hours)
5
4.1
Introduction to AI features in Excel: Ideas, Predictive Analytics, and Forecast Sheets
4.2
Using natural language queries to analyze data
4.3
AI-assisted trend analysis and insights
4.4
Automating repetitive tasks with AI suggestions
4.5
Case studies and hands-on projects
Module 5: Advanced Data Modelling with Excel & AI (5 Hours)
5
5.1
Building relational data models in Excel
5.2
Using DAX for advanced calculations
5.3
Combining AI predictions with Excel dashboards
5.4
Scenario-based forecasting and decision-making exercises
5.5
Real-world business applications
Module 6: Project & Case Study (5 Hours)
5
6.1
End-to-end business problem analysis using Excel with AI
6.2
Building a dynamic dashboard with AI-powered insights
6.3
Predictive analytics project using historical datasets
6.4
Presenting insights to stakeholders effectively
6.5
Review and feedback session
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