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Course Outline

Fundamentals of Excel

  • Overview of the Excel interface and capabilities
  • Comprehending rows, columns, and cell structures
  • Essential navigation and keyboard shortcuts

Core Data Entry and Editing

  • Inputting data into cells
  • Managing cell selection, copying, pasting, and formatting
  • Applying basic text styles (font, size, color)
  • Distinguishing between data types (text, numbers, dates)

Foundational Calculations and Formulas

  • Performing basic arithmetic (addition, subtraction, multiplication, division)
  • Getting started with formulas (e.g., SUM, AVERAGE)
  • Utilizing the AutoSum feature
  • Differentiating between absolute and relative cell references

Managing Worksheets and Workbooks

  • Creating, saving, and accessing workbooks
  • Handling multiple worksheets (naming, removing, inserting, reordering)
  • Configuring basic print settings (layout, print area)

Basic Data Presentation

  • Applying cell formats (number, date, currency)
  • Modifying row and column dimensions (width, height, visibility)
  • Adding borders and shading to cells

Starting with Charts and Graphs

  • Building simple visualizations (bar, line, pie charts)
  • Editing and styling charts

Basic Data Organization

  • Sorting data based on text, numeric, or date values
  • Applying simple filters

Intermediate Formulas and Functions

  • Using logical functions (IF, AND, OR)
  • Manipulating text (LEFT, RIGHT, MID, LEN, CONCATENATE)
  • Employing lookup functions (VLOOKUP, HLOOKUP)
  • Applying mathematical and statistical functions (MIN, MAX, COUNT, COUNTA, AVERAGEIF)

Managing Tables and Ranges

  • Setting up and managing Excel tables
  • Sorting and filtering data within tables
  • Using structured references

Conditional Formatting

  • Defining rules for conditional formatting
  • Customizing appearances (data bars, color scales, icon sets)

Data Validation

  • Establishing entry rules (e.g., dropdown lists, numeric bounds)
  • Configuring error alerts for invalid inputs

Data Visualization Enhancements

  • Advanced chart customization
  • Building combination charts (e.g., mixed bar and line)
  • Incorporating trendlines and secondary axes

Pivot Tables and Pivot Charts

  • Constructing pivot tables for analytical insights
  • Using pivot charts for visual storytelling
  • Grouping and filtering pivot data
  • Enhancing interaction with slicers and timelines

Securing Data

  • Locking specific cells and worksheets
  • Applying password protection to workbooks

Introduction to Macros

  • Recording basic macros
  • Executing and modifying macro code

Advanced Formula Mastery

  • Building nested IF statements
  • Advanced lookups (INDEX, MATCH, XLOOKUP)
  • Working with array formulas (SUMPRODUCT, TRANSPOSE)

Advanced Pivot Table Strategies

  • Adding calculated fields and items
  • Managing complex pivot table relationships
  • Deep-dive into slicers and timelines

Advanced Analytical Tools

  • Consolidating data from multiple sources
  • What-If analysis (Goal Seek, Scenario Manager)
  • Using the Solver add-in for optimization

Power Query Essentials

  • Introduction to Power Query for data ingestion and transformation
  • Linking to external sources (databases, web)
  • Cleaning and reshaping data within Power Query

Power Pivot Capabilities

  • Constructing data models and relationships
  • Creating calculated columns and measures with DAX
  • Building advanced pivot tables via Power Pivot

Advanced Charting Methods

  • Creating dynamic charts driven by formulas
  • Customizing chart behavior using VBA

Workflow Automation with VBA

  • Introduction to Visual Basic for Applications
  • Developing custom macros for repetitive tasks
  • Creating user-defined functions (UDFs)
  • Debugging and error management in VBA

Collaborative Features

  • Co-authoring and sharing workbooks
  • Tracking revisions and version control
  • Integrating Excel with OneDrive and SharePoint for team collaboration

Conclusion and Future Directions

Requirements

  • Fundamental computer literacy
  • Basic familiarity with Excel

Target Audience

  • Data analysts
 28 Hours

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