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Microsoft Excel Data Analysis Practice Exam

Microsoft Excel Data Analysis Practice Exam


About Microsoft Excel Data Analysis Exam 

The Microsoft Excel Data Analysis Practice Exam is designed to evaluate your ability to organize, analyze, and visualize data using Excel’s powerful tools. This exam covers tasks from basic spreadsheet skills to advanced functions, PivotTables, and automation. Whether you work in finance, marketing, operations, or any data-driven role, this certification will help you demonstrate your Excel data analysis expertise.


Who should take the exam?

  • Office professionals working with data
  • Business analysts and data analysts
  • Financial and marketing professionals
  • Students learning data analysis techniques
  • Anyone seeking to prove their Excel data skills


Skills required

  • Basic knowledge of Excel interface and navigation
  • Comfort entering and formatting data in cells
  • Understanding of simple formulas and functions
  • Ability to create basic charts and tables
  • Willingness to learn PivotTables and macros


Knowledge gained

  • Proficiency in data entry, formatting, and validation
  • Skills in using formulas, functions, and lookup tools
  • Ability to analyze data with PivotTables and PivotCharts
  • Understanding of data cleaning and error handling
  • Basics of recording and running macros for automation


Course Outline

 The  Microsoft Excel Data Analysis Exam covers the following topics -

Domain 1 – Introduction to Excel and Interface

  •  Navigating ribbons, menus, and toolbars
  •  Understanding workbooks, worksheets, and cells
  •  Customizing Excel options and shortcuts


Domain 2 – Data Entry and Formatting

  •  Entering and editing text, numbers, and dates
  •  Applying cell formatting, number formats, and styles
  •  Using fill handle, format painter, and alignment tools


Domain 3 – Formulas and Functions

  •  Writing basic formulas and using relative vs absolute references
  •  Common functions: SUM, AVERAGE, COUNT, MIN, MAX
  •  Checking and auditing formulas for errors


Domain 4 – Data Validation and Cleaning

  •  Setting data validation rules and drop-down lists
  •  Removing duplicates and handling missing values
  •  Cleaning text with functions like TRIM and CLEAN


Domain 5 – Data Analysis Tools

  •  Creating and formatting PivotTables
  •  Applying filters and slicers to PivotTables
  •  Building PivotCharts for data summarization


Domain 6 – Advanced Functions

  •  Lookup functions: VLOOKUP and HLOOKUP
  •  Combining INDEX and MATCH for flexible lookups
  •  Logical functions: IF, AND, OR, and nested formulas


Domain 7 – Data Visualization

  •  Inserting charts: column, line, pie, and bar
  •  Customizing chart elements and layouts
  •  Applying conditional formatting rules to highlight data


Domain 8 – Automation and Macros

  •  Recording and running simple macros
  •  Editing macro code in the VBA editor
  •  Automating repetitive tasks with buttons and shortcuts

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