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 Duration 7 hours

Course Outline

Introduction to Problem Solving with Excel

  • Recognizing Excel as a tool for business analysis and modelling
  • Implementing structured techniques for problem resolution
  • Converting business inquiries into analytical models
  • Strategizing a comprehensive Excel modelling approach

Essential Excel Skills for Data Analysis

  • Managing workbooks and worksheets efficiently
  • Grasping concepts of cells, ranges, tables, and cell references
  • Formatting data to optimize analysis and reporting
  • Leveraging Excel features for streamlined analytical tasks

Data Acquisition, Cleaning, and Formatting

  • Importing and structuring data sources
  • Refining and preparing datasets for usability
  • Standardizing data formats to ensure analytical reliability
  • Employing data validation and structured table features

Formulas and Functions for Model Building

  • Mastering formula logic and computational principles
  • 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 data flow
  • Establishing logical links between inputs, calculations, and outputs
  • Developing models that are scalable and easy to maintain
  • Adhering to industry best practices in modelling

Analyzing and Reporting Data in Excel

  • Generating charts and visual summaries
  • Leveraging PivotTables and PivotCharts for deep dives
  • Creating impactful reports and dashboards
  • Clearly communicating insights to key stakeholders

Scenario and Sensitivity Analysis

  • Integrating variable assumptions into models
  • Conducting scenario-based evaluations
  • Applying sensitivity analysis to assess potential outcomes
  • Informing superior business decision-making processes

Model Validation and Quality Assurance

  • Verifying formulas and computational accuracy
  • Validating the integrity of model outputs
  • Detecting and correcting errors effectively
  • Ensuring model accuracy and reliability through best practices

Data Visualization and Presentation

  • Choosing the most appropriate visual formats
  • Enhancing the clarity and communication of insights
  • Producing professional-grade Excel presentations
  • Disseminating analysis to business users effectively

Practical Workshop and Course Recap

  • Constructing an Excel model based on a specific business scenario
  • Implementing analysis and reporting strategies
  • Critical review of modelling methodologies
  • Course conclusion and recommended next steps

Requirements

  • Familiarity with basic Excel functionalities

Target Audience

  • Data Analysts

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