MS Fabric – Introduction to data processing, analysis and visualization (FABA1)

Microsoft, Fabric

This course introduces Microsoft Fabric through practical exercises and demos, giving you hands-on experience with core services. You will learn to ingest, clean and integrate data using Dataflows, store and manage datasets in Datamarts, and build a reusable Semantic model for analysis.

During hands-on labs you'll build one-off and scheduled reports, create interactive dashboards and use AI report generation, learn basics of DAX for calculations, export results to Excel and share or publish reports across the Fabric workspace with governance and refresh options.

THIS TRAINING COURSE WILL HELP YOU:

  • Connect and integrate multiple data sources for analysis
  • Create ad-hoc and scheduled reports with minimal technical effort
  • Design engaging visualizations and dashboards for better insight

WHO SHOULD ATTEND?

  • Data analysts seeking practical skills with advanced Fabric tools
  • Developers who connect data sources and build stronger visual reports
  • Data enthusiasts looking to learn modern Fabric-based data workflows

COURSE LOCATION AND AVAILABLE DATES



Choose whether to attend in person in our classroom or join online. You can select your preferred format during registration. Learn more about hybrid training.

Unlock your employees' potential. We can adapt every course in our portfolio to your objectives and participants.
Need training at your premises or want to tailor the content and duration? We will prepare the right solution, in Czech or English.

Request customised training

Course content:

Hide details
  • Introduction to MS Fabric components for data analysis
    1. Dataflow / Dataflows
    2. Semantic model
    3. Report
    4. Dashboard
    5. Datamart
    6. OneLake
  • Creating a process for regular data refresh
    1. Possible data sources
    2. Possible data destinations
    3. Handling missing, erroneous or duplicate values
    4. Adding new columns
    5. Merging data from multiple sources
    6. Basic overview of the applied procedure
  • Building a semantic model for analysis
    1. Creating relationships
    2. Generating an automatic report using AI
    3. Exporting data to Excel
  • Creating reports and dashboards for visualization
    1. Difference between a report and a dashboard
    2. Overview of visual types and import options
    3. Adjusting visual interactions
    4. Page types and their use for advanced visuals
    5. Export options (PowerPoint, PDF, etc.)
    6. Sharing and publishing options
  • Creating a datamart to store transformed data
    1. Possible data sources
    2. Data transformation and shaping
    3. Using the datamart for reports, custom SQL or DAX analysis
    4. Visual queries via SQL generated by the datamart
  • Introduction to DAX
    1. DAX syntax
    2. Calculated columns, measures and calculated tables — principles and differences
    3. Handling errors in calculations
    4. Calculation context (filter, row and query contexts)
    5. Basic DAX functions for numbers, text and dates
    6. Filter functions
    7. Iterators (MINX, SUMX, RANKX, ISINSCOPE, etc.)
    8. Conditional calculations
Prerequisites:
Comfortable with MS Excel and pivot tables; basic database familiarity is helpful.
Recommended previous course:
MS Excel – Data transformation in Power Query, step by step (PWQ1)
Schedule:
3 days (9:00-17:00)
Price per person:
576.00 € ( 696.96 € incl. 21% VAT)

Training and learning environment