MS Excel – Practical Examples of the Data Model and DAX Functions (PWQ3)

Databases, Data Analytics

This course focuses on Excel's powerful add-ins Power Query and Power Pivot, which broaden Excel's capabilities for importing, transforming and combining data from multiple sources. You will learn to build repeatable ETL workflows, manage large datasets and prepare data for analysis.

You will gain practical skills in DAX for advanced calculations, time intelligence and conditional measures, and learn to build and manage a data model in Power Pivot. The course also covers KPI creation and designing clear reports and dashboards in Excel.

THIS TRAINING COURSE WILL HELP YOU:

  • Use Power Query to import, transform and merge data
  • Automate repetitive data-cleaning and preparation tasks
  • Create advanced calculations with DAX measures and columns
  • Perform complex filtering and time-based analysis
  • Manage relationships and build data models in Power Pivot

WHO SHOULD ATTEND?

  • Data analysts working with large datasets
  • Financial professionals doing complex multi-source analysis
  • IT staff responsible for Excel data management
  • Managers needing consolidated data for decisions
  • Business Intelligence specialists building reports

COURSE LOCATION AND AVAILABLE DATES



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Course content:

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  • Importing data from various sources
    1. Import from Excel workbooks
    2. Import from text and CSV files
    3. Connect directly to Excel tables
    4. Import from databases (SQL Server)
    5. Load and edit tables from web pages
  • Loading and processing data with Power Query
    1. Navigate applied steps and undo transformations
    2. Detect and remove data errors
    3. Adjust and transform data before or after load
    4. Group data, transpose rows and columns
    5. Merge and append queries
    6. Statistical and mathematical transformations
    7. Add custom columns
    8. Structured columns – expand and aggregate
    9. Advanced Query Editor and query editing
  • Data model management with Power Pivot
    1. Create a Power Pivot table from a database
    2. Select specific columns and visually filter rows
    3. Define relationships between tables
    4. Combine data from multiple databases
    5. Diagram view
    6. Hide system columns
    7. Refresh data from source databases
    8. Default data formatting
    9. Edit the Power Pivot model
  • Advanced Power Pivot features
    1. Summary measures and calculated fields
    2. Time hierarchies – year, month, day analysis
    3. Key Performance Indicators (KPI)
    4. Create KPIs from summary measures
    5. Connect a Slicer to multiple Power Pivot tables
    6. Power Pivot charts
  • The DAX language
    1. Introduction to DAX (Data Analysis Expressions)
    2. DAX syntax
    3. Calculated columns vs. measures – principles and differences
    4. Error handling in calculations
    5. Evaluation context (filter, row, query context)
    6. Core DAX functions for numbers, text and dates
    7. Filtering functions
    8. Iterators (MINX, SUMX, RANKX, etc.)
    9. Conditional calculations
Prerequisites:
Ability to insert and work with PivotTables and use Excel formulas and functions.
Recommended previous course:
MS Excel – Data transformation in Power Query, step by step (PWQ1)
Recommended follow-up course:
Power BI – Advanced Data Analysis and Data Modeling with DAX (PWBI2)
Schedule:
2 days (9:00-17:00)
Price per person:
300.00 € ( 363.00 € incl. 21% VAT)

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