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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.
- Strategizing an effective approach for Excel modelling.
Excel Fundamentals for Data Analysis
- Mastering navigation within Excel workbooks and worksheets.
- Comprehending cells, ranges, tables, and reference structures.
- Formatting data specifically for analysis and reporting needs.
- Leveraging Excel features to streamline analytical tasks.
Data Collection, Preparation, and Formatting
- Importing and structuring data efficiently.
- Cleaning and preparing datasets for processing.
- Formatting data to ensure analysis reliability.
- Utilizing data validation rules and structured tables.
Formulas and Functions for Modelling
- Understanding the logic behind formulas and calculations.
- Deploying essential Excel functions for analytical purposes.
- Applying conditional, lookup, and logical functions effectively.
- Constructing reliable and reusable calculation frameworks.
Designing Excel Models
- Analyzing spreadsheet architecture and model flow.
- Establishing logical connections between data 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.
- Utilizing PivotTables and PivotCharts for insight.
- Designing impactful reports and dashboards.
- Communicating insights clearly to key stakeholders.
Scenario and Sensitivity Analysis
- Creating models based on variable assumptions.
- Executing scenario analysis to test variables.
- Employing sensitivity analysis to assess potential outcomes.
- Facilitating more informed business decision-making.
Model Testing and Quality Assurance
- Verifying formulas and calculation accuracy.
- Validating the integrity of model outputs.
- Detecting and correcting errors.
- Applying best practices to ensure model precision and reliability.
Data Visualisation and Presentation
- Selecting the most appropriate visualizations.
- Enhancing the readability and communication of insights.
- Producing professional-grade Excel presentations.
- Effectively sharing analysis with business users.
Practical Workshop and Course Review
- Developing an Excel model based on a specific business scenario.
- Implementing analysis and reporting techniques in practice.
- Evaluating different modelling approaches.
- Summarizing course key points and outlining next steps.
Requirements
- A foundational understanding of Excel.
Target Audience
- Data Analysts.
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
