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Duration 7 hours
Course Outline
Introduction to Excel-Based Problem Solving
- Recognizing Excel as a vital tool for business analysis and modelling.
- Applying structured methodologies to solve problems.
- Converting business inquiries into analytical models.
- Strategizing an efficient approach to Excel modelling.
Excel Fundamentals for Data Analysis
- Mastering navigation across workbooks and worksheets.
- Understanding the mechanics of cells, ranges, tables, and references.
- Formatting data for optimal analysis and reporting.
- Leveraging Excel features for streamlined analytical tasks.
Data Collection, Preparation, and Formatting
- Importing and structuring data effectively.
- Cleaning and refining datasets for accuracy.
- Formatting data to ensure reliable analysis results.
- Utilizing data validation and structured tables for integrity.
Formulas and Functions for Modelling
- Deciphering formula logic and calculation flows.
- Employing essential Excel functions for deep analysis.
- Implementing conditional, lookup, and logical functions.
- Constructing robust and reusable calculation structures.
Designing Excel Models
- Analyzing spreadsheet architecture and model workflow.
- Establishing logical connections between inputs, calculations, and outputs.
- Developing models that are scalable and easy to maintain.
- Adhering to best practices in model design.
Data Analysis and Reporting with Excel
- Generating charts and visual summaries.
- Leveraging PivotTables and PivotCharts for insight extraction.
- Designing compelling reports and dashboards.
- Communicating key insights clearly to stakeholders.
Scenario and Sensitivity Analysis
- Creating models with variable assumptions.
- Conducting thorough scenario analysis.
- Using sensitivity analysis to assess potential outcomes.
- Facilitating informed business decision-making.
Model Testing and Quality Assurance
- Auditing formulas and calculation accuracy.
- Verifying the validity of model outputs.
- Identifying and rectifying errors systematically.
- Ensuring high standards of model accuracy and reliability.
Data Visualisation and Presentation
- Choosing the most appropriate visualization methods.
- Enhancing the readability and impact of insights.
- Crafting professional-grade Excel presentations.
- Effectively sharing analysis with business users.
Practical Workshop and Course Review
- Constructing a complete Excel model from a real-world business scenario.
- Applying advanced analysis and reporting techniques.
- Reflecting on and refining modelling approaches.
- Course recap and planning for next steps.
Requirements
- Foundational knowledge of Microsoft Excel.
Target Audience
- Data Analysts and related professionals.
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