Microsoft Excel - Power Query, Power Pivot & DAX
Duration
2 Days
Price
596,00 €
This advanced Excel course provides a practical introduction to Power Query and Power Pivot, equipping you with the skills to transform, model, and analyze data at a professional level. You’ll learn how to automate repetitive tasks and clean complex datasets in minutes, eliminate copy-paste errors through structured queries, and scale your analysis to hundreds of thousands of rows.
With Power Pivot, you’ll build advanced data models, create relationships between tables, and apply DAX calculations to uncover valuable patterns and trends. The course also shows you how to design interactive dashboards and reports that deliver actionable insights across your organization.
By the end of the training, you will have not only improved accuracy and efficiency in Excel, but also gained future-proof skills that lay the foundation for career growth in data analysis, finance, and business intelligence—and provide a natural stepping stone toward tools like Power BI and SQL.
Learning Objectives
After completing this course, you will be able to:
- Import and clean data from multiple sources using Power Query;
- Transform raw data into analysis-ready datasets;
- Build relationships and data models using Power Pivot;
- Create calculations using DAX;
- Automate reporting and gain insights more efficiently.
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Course Outline
1 - Introduction to Power Query
- - Introduction
- - Understand the role of Power Query in Excel
2 - Getting Data
- - Connect to various data sources
- - Understand refreshable queries
3 - Data Cleaning Techniques
- - Apply core data cleaning steps
- - Remove unnecessary rows/columns
- - Replace nulls or errors
- - Format data types (e.g., Date, Number)
4 - Data Transformation
- - Transform data using pivot/unpivot, merge/split
- - Add calculated and conditional columns
5 - Combining Queries
- - Understand difference between Append and Merge
- - Practice query combination techniques
6 - Introduction to Power Pivot
- - Introduction to the data model
- - Understand key concepts of relationships and modeling
7 - Building the Data Model
- - Create and manage relationships between tables
- - Use best practices in model design
8 - Visualizing Power Pivot Data
- - Create a Power Pivot Report
- - Create Calculations in Power Pivot
- - Create measures and calculated columns
9 - Advanced Functionality in Power Pivot
- - Create a Key Performance Indicator
- - DAX intro
- - Work with DAX functions
Target Audience
The audience for this course includes data analysts, finance professionals, business users, Excel power users, and aspiring BI specialists.
Candidates must have a good knowledge of Excel basics (formulas, tables, named ranges).