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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
Testimonials (5)
trainer was expalning everything step by step which was very good as it was easy to follow if there was anything unclear trainer helped
Daria - LKQ Polska Sp. z o. o.
Course - Excel Modelling
I learned some Excel tricks and improved my knowledge regarding Pivot tables
Dawid - LKQ Polska Sp. z o. o.
Course - Excel Modelling
even hard tasks was simple with good trainer
Jan - LKQ Polska Sp. z o. o.
Course - Excel Modelling
Trainer's knowledge and experience.
Pawel Dykowski - LKQ Polska Sp. z o. o.
Course - Excel Modelling
learned new things