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Course Outline
Foundations of Excel-Based Problem Solving
- Recognizing Excel as a key tool for business analysis and modelling.
- Implementing structured approaches to problem-solving.
- Converting business questions into actionable analytical models.
- Developing a strategic plan for Excel modelling tasks.
Core Excel Skills for Data Analysis
- Becoming proficient in navigating Excel workbooks and worksheets.
- Grasping the concepts of cells, ranges, tables, and cell references.
- Formatting data to optimize it for analysis and reporting.
- Leveraging Excel’s features to perform analytical tasks efficiently.
Data Acquisition, Preparation, and Structuring
- Importing and organizing raw data.
- Cleaning and refining datasets for accuracy.
- Formatting information to ensure reliable analytical results.
- Utilizing data validation and structured tables for better data integrity.
Formulas and Functions for Effective Modelling
- Understanding the logic behind formulas and complex calculations.
- Selecting and using critical Excel functions for deeper analysis.
- Applying conditional, lookup, and logical functions appropriately.
- Constructing calculations that are both reliable and reusable.
Architecting Excel Models
- Analyzing spreadsheet structure and the flow of the model.
- Establishing logical connections between inputs, calculations, and outputs.
- Creating models that are scalable and easy to maintain.
- Adhering to industry best practices in model design.
Analysis and Reporting Using Excel
- Generating charts and visual summaries to clarify data.
- Exploiting PivotTables and PivotCharts for dynamic analysis.
- Designing comprehensive reports and intuitive dashboards.
- Communicating key insights clearly to stakeholders.
Scenario and Sensitivity Testing
- Creating models that incorporate variable assumptions.
- Conducting scenario analysis to explore different outcomes.
- Employing sensitivity analysis to assess the impact of changes.
- Enabling more informed business decision-making.
Model Validation and Quality Assurance
- Auditing formulas and calculation logic.
- Verifying the accuracy of model outputs.
- Identifying and correcting errors effectively.
- Implementing best practices to ensure model precision and reliability.
Data Visualization and Communication
- Choosing the most effective visualization methods.
- Enhancing the clarity and impact of data communication.
- Producing professional-grade Excel presentations.
- Sharing analytical findings with business users.
Practical Application and Course Conclusion
- Constructing a complete Excel model from a real-world business scenario.
- Applying integrated analysis and reporting techniques.
- Evaluating and refining modelling approaches.
- Summarizing key learnings and outlining next steps.
Requirements
- Familiarity with basic Excel operations is required.
Target Audience
- Data Analysts and professionals in related analytical roles.
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
