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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
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