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Course Outline

Introduction to Excel-Driven Problem Solving

  • Recognising Excel as a tool for business analysis and modelling
  • Implementing structured problem-solving techniques
  • Converting business queries into analytical models
  • Devising a strategic approach to Excel modelling

Excel Essentials for Data Analysis

  • Exploring Excel workbooks and worksheets
  • Mastering cells, ranges, tables, and cell references
  • Formatting data for streamlined analysis and reporting
  • Leveraging Excel features to enhance analytical workflows

Data Acquisition, Preparation, and Formatting

  • Importing and organising raw data
  • Cleaning and refining datasets for usability
  • Formatting data to ensure analytical reliability
  • Utilising data validation and structured tables

Formulas and Functions for Model Construction

  • Interpreting formula logic and calculation mechanics
  • Employing essential Excel functions for data assessment
  • Utilising conditional, lookup, and logical functions
  • Constructing robust and reusable calculations

Architecture of Excel Models

  • Comprehending spreadsheet structure and data flow
  • Establishing logical connections between inputs, calculations, and outputs
  • Constructing models that are both scalable and maintainable
  • Adhering to industry best practices in modelling

Data Analysis and Reporting using Excel

  • Generating charts and visual summaries
  • Leveraging PivotTables and PivotCharts for insight extraction
  • Designing compelling reports and dashboards
  • Communicating key findings to stakeholders clearly

Scenario and Sensitivity Analysis

  • Creating models incorporating variable assumptions
  • Executing scenario analysis
  • Utilising sensitivity analysis to assess potential outcomes
  • Enhancing business decision-making processes

Model Validation and Quality Assurance

  • Auditing formulas and calculations
  • Verifying model outputs for accuracy
  • Detecting and rectifying errors
  • Implementing best practices to ensure model precision and reliability

Data Visualisation and Presentation

  • Choosing the most effective visualisation types
  • Enhancing the readability and communication of insights
  • Producing professional-grade Excel presentations
  • Distributing analysis to business users

Practical Workshop and Course Recap

  • Building an Excel model based on a real-world business scenario
  • Applying analysis and reporting techniques
  • Reflecting on modelling strategies
  • Course summary and recommendations for further learning

Requirements

  • A foundational grasp of Microsoft Excel

Target Audience

  • Data Analysts
 7 Hours

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