Excel Advanced Course (Total: 24 Hours)

Objective: Master automation, business intelligence tools, and complex data modeling techniques.

This course provides a structured learning path from beginner to advanced Excel skills, covering data analysis, automation, business intelligence tools, and real-world applications.

Click Here for Excel Beginner Course.

Click Here for Excel Intermediate Course.

Module 11: Advanced Formulas & Dynamic Arrays (3 Hours)

  • Nested IF statements and IFS function
  • INDEX-MATCH vs. VLOOKUP
  • OFFSET, INDIRECT, CHOOSE functions
  • Dynamic arrays: FILTER, SORT, UNIQUE, SEQUENCE

Module 12: Advanced PivotTables & Data Modeling (3 Hours)

  • Calculated fields and calculated items in PivotTables
  • Using Power Pivot for large datasets
  • Creating relationships between tables
  • Advanced PivotTable visualizations

Module 13: Data Visualization & Dashboards (3 Hours)

  • Advanced charts (Combo Charts, Waterfall, Treemap, Sunburst)
  • Creating interactive dashboards using slicers and PivotTables
  • Conditional formatting in charts
  • Creating KPI dashboards for business analysis

Module 14: Power Query & Data Transformation (3 Hours)

  • Importing data from different sources (CSV, Web, Databases)
  • Cleaning and transforming data using Power Query
  • Merging and appending datasets
  • Automating data refresh

Module 15: Power BI & Business Intelligence (3 Hours)

  • Introduction to Power BI and data visualization
  • Connecting Excel to Power BI
  • Creating reports and dashboards
  • Power Query and Power Pivot in Power BI

Module 16: Automation with Macros & VBA (3 Hours)

  • sdRecording and editing Macros
  • Introduction to VBA (Visual Basic for Applications)
  • Writing simple VBA scripts for automation
  • Creating user forms and interactive Excel applications

Module 17: Advanced Data Analysis & Forecasting (3 Hours)

  • Regression analysis using Excel
  • Statistical analysis with Data Analysis ToolPak
  • Forecasting techniques and trend analysis
  • Time series analysis

Module 18: Working with Large Datasets & Optimization (3 Hours)

  • Financial functions: NPV, IRR, PMT, FV
  • Creating financial models and projections
  • Break-even analysis
  • Business scenario planning

Module 19: Excel for Financial & Business Analysis (3 Hours)

  • Handling big data efficiently in Excel
  • Using Solver for optimization
  • Data sampling and Monte Carlo simulations
  • Speeding up calculations and improving performance

Module 20: Collaboration & Integration (3 Hours)

  • Sharing and protecting workbooks
  • Co-authoring in Excel (real-time collaboration)
  • Connecting Excel with Google Sheets and cloud platforms
  • Integrating Excel with other Microsoft Office applications (Word, PowerPoint, Outlook)

Final Project & Certification (Total: 8 Hours)

  • Real-world Excel project: Data analysis, dashboard creation, automation
  • Assessment and feedback
  • Certification of completion
Enroll Now

This detailed Excel course outline ensures a structured, hands-on learning experience covering all key functionalities from beginner to expert level. 

Scroll to Top