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Advanced Excel

Advanced Excel

Advanced Excel

Course Description

Module 1: Advanced Functions and Formulas

  • Nested IF, AND, OR functions
  • Advanced Lookup Functions: VLOOKUP, HLOOKUP, XLOOKUP, INDEX-MATCH
  • Logical & Error Handling Functions: IFERROR, ISERROR, IFNA
  • Date & Time Functions: TEXT, TODAY, EOMONTH, NETWORKDAYS
  • Text Functions: LEN, MID, FIND, LEFT, RIGHT, SUBSTITUTE
  • Dynamic Arrays & Spill Functions: UNIQUE, FILTER, SORT, SEQUENCE

Module 2: Data Validation and Conditional Formatting

  • Creating custom validation rules
  • Dynamic dropdown lists using Data Validation
  • Applying advanced conditional formatting with formulas
  • Highlighting duplicate & unique values

Module 3: Data Analysis and PivotTables

  • Creating & customizing PivotTables
  • Grouping and filtering data dynamically
  • Calculated Fields & Calculated Items in PivotTables
  • Using Slicers and Timelines for data analysis
  • Introduction to Power Pivot and Data Model

Module 4: Data Cleaning and Transformation

  • Removing duplicates & splitting text using Text to Columns
  • Using Flash Fill for quick data transformations
  • Advanced Find & Replace techniques
  • Cleaning data with Power Query (Get & Transform)

Module 5: Advanced Charting and Visualization

  • Creating dynamic charts with OFFSET and Named Ranges
  • Customizing Combo Charts (e.g., Line + Bar)
  • Creating interactive dashboards with Slicers & PivotCharts
  • Waterfall, Histogram, Box & Whisker Charts
  • Creating Sparklines for trend visualization

Module 6: Automation with Macros and VBA (Optional)

  • Introduction to Macros & VBA
  • Recording & Running Macros
  • Writing Basic VBA Scripts
  • Automating repetitive tasks using VBA

Module 7: Power Query & Power Pivot (Data Modeling)

  • Importing data from multiple sources
  • Merging & appending datasets
  • Creating relationships between tables
  • Introduction to DAX (Data Analysis Expressions)

Module 8: Financial & Statistical Analysis

  • Using NPV, IRR, PMT, PV, FV for financial modeling
  • Regression Analysis & Forecasting in Excel
  • Statistical Functions: STDEV, VAR, CORREL, TREND
  • Creating Monte Carlo Simulations

Module 9: What-If Analysis & Scenario Planning

  • Goal Seek & Solver for optimization
  • Data Tables (One-Variable & Two-Variable)
  • Scenario Manager for financial projections

Course Syllabus

1: Advanced Functions and Formulas

2: Data Validation and Conditional Formatting

3: Data Analysis and PivotTables

4: Data Cleaning and Transformation

5: Advanced Charting and Visualization

6: Automation with Macros and VBA (Optional)

7: Power Query & Power Pivot (Data Modeling)

8: Financial & Statistical Analysis

9: What-If Analysis & Scenario Planning


Duration: 6 Months
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