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 Duration 7 hours

Course Outline

Introduction to Excel-Based Problem Solving

  • Recognizing Excel as a versatile tool for business analysis and modelling
  • Implementing structured problem-solving frameworks
  • Converting business inquiries into analytical models
  • Strategizing an efficient Excel modelling workflow

Excel Essentials for Data Analysis

  • Mastering the navigation of Excel workbooks and worksheets
  • Comprehending cells, ranges, tables, and reference types
  • Formatting data to support analysis and reporting
  • Leveraging Excel features for streamlined analytical tasks

Data Acquisition, Preparation, and Formatting

  • Importing and structuring data efficiently
  • Refining and preparing datasets for use
  • Formatting data to ensure analytical reliability
  • Incorporating data validation and structured tables

Formulas and Functions for Modelling

  • Deciphering formula logic and calculation flows
  • Utilizing essential Excel functions for analysis
  • Deploying conditional, lookup, and logical functions
  • Constructing robust and reusable calculations

Architecting Excel Models

  • Analyzing spreadsheet architecture and model dynamics
  • Establishing logical connections between inputs, calculations, and outputs
  • Developing models that are scalable and easy to maintain
  • Adhering to industry best practices in modelling

Excel for Data Analysis and Reporting

  • Generating charts and visual summaries
  • Utilizing PivotTables and PivotCharts for deeper insights
  • Designing compelling reports and dashboards
  • Communicating insights clearly to key stakeholders

Scenario and Sensitivity Analysis

  • Constructing models based on variable assumptions
  • Conducting comprehensive scenario analysis
  • Employing sensitivity analysis to assess potential outcomes
  • Informing strategic business decision-making

Model Testing and Quality Assurance

  • Auditing formulas and calculation integrity
  • Validating the accuracy of model outputs
  • Diagnosing and resolving computational errors
  • Implementing best practices for precision and reliability

Data Visualization and Presentation

  • Selecting the most effective visualization methods
  • Enhancing the clarity and communication of insights
  • Producing professional-grade Excel presentations
  • Sharing analytical results with business users

Practical Workshop and Course Recap

  • Developing a complete Excel model from a real-world business scenario
  • Applying integrated analysis and reporting techniques
  • Reflecting on various modelling approaches
  • Summarizing course key points and identifying next steps

Requirements

  • Familiarity with basic Excel operations

Target Audience

  • Data Analysts

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