Advanced Excel

Categories: Excel
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About Course

This course is designed for individuals who want to improve their Excel skills and learn advanced techniques for data analysis and reporting. The course covers advanced functions and formulas, data validation, PivotTables, data visualization, and macros. The course will also cover best practices for data organization, efficiency, and accuracy. The course is suitable for professionals in a variety of industries, including finance, accounting, marketing, and operations.

Course Outline:


Advanced Functions and Formulas
  • Lookup and Reference Functions
  • Text Functions
  • Date and Time Functions
  • Logical Functions
  • Array Formulas
Data Validation and Quality Control
  • Data Validation Rules
  • Error Checking and Correction
  • Data Cleaning Techniques
  • Data Quality Metrics and Analysis
PivotTables and PivotCharts
  • PivotTable Basics
  • PivotTable Options and Customization
  • PivotTable Calculations and Analysis
  • PivotChart Creation and Formatting
Data Visualization Techniques
  • Conditional Formatting
  • Sparklines and Data Bars
  • Charts and Graphs
  • Interactive Dashboards
Macros and Automation
  • Macro Basics and Recording
  • Editing and Running Macros
  • Macro Security and Best Practices
  • Automation and Integration with Other Tools
Best Practices for Data Organization and Efficiency
  • Efficient Data Entry Techniques
  • Structured and Tabular Data Formats
  • Named Ranges and Tables
  • Data Validation Techniques


  • Basic knowledge of Excel functions and formulas
  • Familiarity with data entry and basic formatting in Excel

Recommended Textbook:

  • “Excel 2019 Bible” by Michael Alexander and Richard Kusleika.


  • Midterm Exam (30%)
  • Final Exam (40%)
  • Excel Project (30%)

Note: The course syllabus and assessment methods are subject to change based on instructor’s discretion.

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What Will You Learn?

  • Use advanced functions and formulas to perform complex calculations and analysis.
  • Implement data validation rules and quality control techniques to ensure data accuracy and consistency.
  • Create PivotTables and PivotCharts to summarize and analyze large datasets.
  • Visualize data using charts, graphs, and dashboards to effectively communicate insights.
  • Use macros and automation to increase efficiency and streamline repetitive tasks.
  • Apply best practices for data organization, efficiency, and accuracy.

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