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Course Outline

Introduction to Excel-Based Problem Solving

  • Recognizing Excel as a vital tool for business analysis and modelling
  • Implementing structured problem-solving techniques
  • Converting business inquiries into analytical models
  • Devising an effective strategy for Excel modelling

Excel Essentials for Data Analysis

  • Mastering the navigation of Excel workbooks and worksheets
  • Comprehending cells, ranges, tables, and reference structures
  • Formatting data to enhance analysis and reporting
  • Leveraging Excel features to optimize analytical tasks

Data Collection, Preparation, and Formatting

  • Importing and organizing data sources
  • Cleaning and refining datasets for readiness
  • Structuring data to ensure analytical reliability
  • Utilizing data validation and structured tables

Formulas and Functions for Modelling

  • Decoding formula logic and computational processes
  • Employing essential Excel functions for analysis
  • Applying conditional, lookup, and logical functions effectively
  • Constructing robust and reusable calculations

Designing Excel Models

  • Understanding spreadsheet architecture and model flow
  • Establishing logical connections between inputs, calculations, and outputs
  • Developing models that are both scalable and maintainable
  • Adhering to industry-best modelling practices

Data Analysis and Reporting with Excel

  • Generating charts and visual summaries
  • Leveraging PivotTables and PivotCharts for insight
  • Crafting impactful reports and dashboards
  • Communicating insights clearly to stakeholders

Scenario and Sensitivity Analysis

  • Creating models with flexible assumptions
  • Conducting thorough scenario analysis
  • Using sensitivity analysis to assess potential outcomes
  • Enhancing business decision-making processes

Model Testing and Quality Assurance

  • Auditing formulas and calculations for accuracy
  • Verifying the integrity of model outputs
  • Diagnosing and correcting errors
  • Ensuring high standards of model accuracy and reliability

Data Visualisation and Presentation

  • Choosing the most suitable visualizations
  • Enhancing the clarity and communication of insights
  • Producing professional Excel presentations
  • Sharing analytical findings with business users

Practical Workshop and Course Review

  • Building an Excel model from a real-world business scenario
  • Applying advanced analysis and reporting techniques
  • Evaluating various modelling approaches
  • Course wrap-up and guidance on future steps

Requirements

  • A foundational understanding of Excel

Target Audience

  • Data Analysts
 7 Hours

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