★★★★★
"The structure, the practice exams, the instructor — all top tier. Passed first try."
AS
Aarti SharmaSenior Project Manager · TCS
— The journey
Course Outline
What the programme covers, module by module.
Module 1: Introduction to Excel Data Analytics
- Data Analytics Fundamentals
- Excel Analytics Features
- Data Analysis Workflow
- Business Use Cases
- Best Practices
Module 2: Data Preparation
- Data Import
- Data Cleaning
- Removing Duplicates
- Text to Columns
- Data Validation
Module 3: Advanced Excel Formulas
- Logical Functions
- Lookup Functions
- Text Functions
- Date and Time Functions
- Dynamic Array Functions
Module 4: Data Analysis Techniques
- Sorting
- Filtering
- Advanced Filter
- Conditional Formatting
- Data Consolidation
Module 5: PivotTables
- Creating PivotTables
- Grouping Data
- Calculated Fields
- Slicers
- PivotTable Best Practices
Module 6: PivotCharts
- Creating PivotCharts
- Interactive Charts
- Chart Customization
- Chart Formatting
- Dashboard Integration
Module 7: Dashboard Design
- KPI Dashboards
- Interactive Reports
- Slicers and Timelines
- Report Layout
- Dashboard Best Practices
Module 8: Power Query
- Data Import
- Data Transformation
- Data Cleaning
- Merge Queries
- Append Queries
Module 9: Power Pivot
- Data Model Creation
- Table Relationships
- Calculated Columns
- Measures
- Data Modeling Best Practices
Module 10: Data Visualization
- Column Charts
- Line Charts
- Scatter Charts
- Heat Maps
- Sparklines
Module 11: Statistical Analysis
- Descriptive Statistics
- Trend Analysis
- Correlation
- Data Distribution
- Scenario Analysis
Module 12: Forecasting
- Forecast Sheets
- Trendlines
- What-If Analysis
- Goal Seek
- Data Tables
Module 13: Business Reporting
- Executive Reports
- Sales Reports
- Financial Reports
- Operational Reports
- KPI Reporting
Module 14: Automation
- Named Ranges
- Macros
- Templates
- Workbook Automation
- Productivity Techniques
Module 15: Data Validation and Quality
- Validation Rules
- Error Checking
- Data Accuracy
- Quality Control
- Audit Techniques
Module 16: Collaboration Features
- Workbook Sharing
- Comments
- Version History
- Co-Authoring
- File Protection
Module 17: Performance Optimization
- Formula Optimization
- Workbook Performance
- Large Dataset Management
- Efficient Calculations
- Best Practices
Module 18: Excel Integration
- Importing External Data
- CSV Files
- Database Connections
- Power BI Integration
- Microsoft 365 Integration
Module 19: Advanced Reporting
- Interactive Reports
- Dynamic Dashboards
- Business Storytelling
- Executive Presentation
- Report Distribution
Module 20: Security and Protection
- Workbook Protection
- Worksheet Protection
- Data Security
- Password Protection
- Access Management
Module 21: Excel Analytics Best Practices
- Data Organization
- Documentation
- Standardized Reporting
- Continuous Improvement
- Professional Reporting Standards
Module 22: Microsoft Excel Data Analytics Project
- Business Data Analysis
- Dashboard Development
- Data Visualization
- Automated Reporting
- Final Project Presentation
— 01.2 · Is it right for you?
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Who it's for
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
What's included
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Who it's for
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
What's included
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Who it's for
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
What's included
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device