Duration 2 days – 14 hrs
Overview
The Advanced Microsoft Excel Training Course is designed to help professionals maximize Excel’s powerful data analysis and reporting capabilities. This course focuses on advanced formulas, logical functions, Pivot Tables, data management tools, and dashboard creation techniques.
Participants will gain hands-on experience in building professional reports, performing data validation, applying conditional formatting, and using lookup functions efficiently. By the end of the program, learners will be able to analyze complex datasets, automate calculations, and create dynamic dashboards for decision-making.
Objectives
- Apply advanced Excel formulas and functions effectively
- Use Pivot Tables and Pivot Charts for data analysis
- Perform data validation, conditional formatting, and advanced filtering
- Utilize lookup functions and logical formulas
- Create professional reports and dashboards
- Improve productivity through Excel best practices
Target Audience
- Business Analysts
- Finance and Accounting Professionals
- Operations and Administrative Staff
- Data Analysts
- Managers and Supervisors
- Professionals working regularly with Excel
Prerequisites
- Basic knowledge of Microsoft Excel
- Familiarity with formulas and worksheet navigation
- Laptop with Microsoft Excel (2016 or later recommended)
Course Outline
Day 1 – Advanced Formulas & Data Control
Module 1: Pre-Test and Course Introduction
- Pre-training knowledge assessment
- Course objectives and expectations
Module 2: Review of Essential Excel Concepts
- Formula structure and referencing (absolute vs relative)
- Worksheet organization best practices
- Troubleshooting common formula errors
Module 3: Advanced Formulas
- IF and Nested IF Functions
- VLOOKUP and XLOOKUP
- INDEX-MATCH Combination
- IFERROR and error handling techniques
- Practical formula-building strategies
Module 4: Logical and Text Functions
- AND and OR Functions
- LEFT, RIGHT, MID
- LEN, TRIM, CONCAT
- Combining text and logical formulas
Module 5: Data Validation and Conditional Formatting
- Creating dropdown lists
- Restricting data inputs
- Custom validation formulas
- Rule-based conditional formatting
- Highlighting trends and exceptions
Module 6: Hands-on Exercises and Practical Application
- Business scenario-based exercises
- Guided problem-solving activities
Day 2 – Data Analysis & Reporting
Module 7: Pivot Tables
- Creating and customizing Pivot Tables
- Grouping and summarizing data
- Calculated fields
- Using slicers and filters
Module 8: Pivot Charts
- Creating Pivot Charts
- Customizing visualizations
- Interactive reporting techniques
Module 9: Advanced Data Analysis Tools
- Advanced filtering techniques
- Sorting and subtotal features
- What-If Analysis (Goal Seek introduction)
Module 10: Data Cleaning and Management Techniques
- Removing duplicates
- Text-to-Columns
- Flash Fill
- Data formatting best practices
Module 11: Creating Professional Reports and Dashboards
- Designing structured reports
- Building dynamic dashboards
- Using slicers for interactive dashboards
- Layout and formatting best practices
Module 12: Final Case Study and Post-Test
- End-to-end business case exercise
- Dashboard presentation
- Post-training assessment
- Course recap and open forum

