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Course Outline

Introduction to Excel-Based Problem Solving

  • Evaluating the utility of Excel as a tool for business analysis and modeling
  • Implementing structured methodologies for problem resolution
  • Converting operational inquiries into analytical frameworks
  • Formulating an effective strategy for Excel modeling initiatives

Excel Fundamentals for Data Analysis

  • Navigating Excel workbooks and worksheets efficiently
  • Mastering the use of cells, ranges, tables, and reference types
  • Applying appropriate formatting standards for analysis and reporting
  • Leveraging Excel features to optimize analytical workflows

Data Collection, Preparation, and Formatting

  • Importing and organizing source data effectively
  • Cleaning and structuring datasets for processing
  • Applying formatting protocols to ensure analytical integrity
  • Utilizing data validation and structured table functionalities

Formulas and Functions for Modelling

  • Understanding the logic and mechanics of formula calculations
  • Deploying essential Excel functions for analytical purposes
  • Applying conditional, lookup, and logical operators
  • Constructing robust and reusable calculation structures

Designing Excel Models

  • Governance of spreadsheet architecture and model logic flow
  • Establishing logical connections between inputs, calculations, and outputs
  • Developing scalable and maintainable modeling frameworks
  • Adhering to established best practices in financial and operational modeling

Data Analysis and Reporting with Excel

  • Generating charts and visual data summaries
  • Utilizing PivotTables and PivotCharts for data aggregation
  • Designing comprehensive reports and performance dashboards
  • Communicating key insights clearly to stakeholders, including for government audiences where applicable

Scenario and Sensitivity Analysis

  • Constructing models with variable assumptions
  • Executing scenario analysis techniques
  • Performing sensitivity analysis to assess outcome variability
  • Enhancing decision-making processes through quantitative evaluation

Model Testing and Quality Assurance

  • Auditing formulas and calculation logic
  • Validating model outputs against expected results
  • Identifying and correcting logical or formulaic errors
  • Ensuring model accuracy and reliability through rigorous testing protocols

Data Visualisation and Presentation

  • Selecting appropriate visualization methods for data clarity
  • Enhancing the readability and impact of analytical insights
  • Developing professional-grade Excel presentations
  • Disseminating analysis to business users effectively

Practical Workshop and Course Review

  • Constructing an Excel model based on a defined business scenario
  • Applying integrated analysis and reporting techniques
  • Evaluating modeling approaches and methodologies
  • Course summary and identification of next steps for implementation

Requirements

  • Fundamental proficiency in Microsoft Excel

Audience

  • Data Analysts seeking tools for government
 7 Hours

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