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Course Outline

Getting Started with Excel

  • Survey of the Excel interface and core functionalities
  • Grasping workbooks, worksheets, and cell referencing systems
  • Navigating the Ribbon, Quick Access Toolbar, and context menus

Data Input and Styling

  • Efficient data entry and modification techniques
  • Styling cells, rows, and columns
  • Applying number formats, styles, and themes
  • Data cleansing and fundamental validation methods

Formulas and Functions

  • Comprehending formula architecture and operational precedence
  • Utilizing relative, absolute, and mixed references
  • Crucial functions: SUM, AVERAGE, COUNT, IF, and additional utilities
  • Leveraging contemporary functions: XLOOKUP, IFS, and dynamic arrays

Managing Data Ranges and Tables

  • Establishing and controlling Excel tables
  • Sorting, filtering, and applying conditional filters
  • Employing structured references within tables
  • Data validation and duplicate removal

Data Visualization

  • Constructing charts and graphs (including column, line, and pie charts)
  • Refining chart components for optimal readability
  • Utilizing Sparklines and Conditional Formatting for visual insights
  • Best practices for impactful data presentation

Introduction to Analytical Tools

  • Working with PivotTables and PivotCharts
  • Aggregating and grouping data sets
  • An overview of the Analysis ToolPak for elementary statistical analysis

Collaboration and Efficiency Features

  • Storing and sharing files through OneDrive and SharePoint
  • Co-authoring workbooks and handling comments
  • Accessing version history and recovery features
  • Utilizing Flash Fill, Quick Analysis, and other productivity enhancers

Conclusion and Future Directions

Requirements

  • Foundational computer literacy
  • No previous Excel experience necessary

Target Audience

  • Data analysts
  • Office professionals
  • Individuals seeking to master the basics of Excel for data management and analysis
 14 Hours

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