JITA Learning · Microsoft · Field Guide
PL-300 · Microsoft Power BI Data Analyst
Build working judgment for Power BI data analysis and semantic modeling.
What you should expect
Build working judgment for Power BI data analysis and semantic modeling.
This Field Guide develops a working mental model of Power BI data analysis and semantic modeling. You will connect connect to data sources and choose appropriate connectivity and transformation approaches, clean, shape, profile, and prepare data in Power Query, design semantic models, relationships, DAX, measures, and performance behavior, and build reports that communicate analytical meaning through appropriate visual and interaction choices. You are not just memorizing feature names; you are learning what owns the requirement, what can fail, and how to verify the outcome.
What you will learn
- connect to data sources and choose appropriate connectivity and transformation approaches
- clean, shape, profile, and prepare data in Power Query
- design semantic models, relationships, DAX, measures, and performance behavior
- build reports that communicate analytical meaning through appropriate visual and interaction choices
- recognize why one technically plausible alternative loses under the stated requirement
- apply Changed Fact reasoning and verify the design or implementation through operational evidence
Decision skills you will practice
- identify the governing requirement
- compare the nearest plausible alternative
- apply Changed Fact reasoning
- trace prerequisites, dependencies, and failure paths
- verify configured state, effective state, runtime outcome, and negative-path evidence
Who this is for
data analysts who need to prepare, model, visualize, analyze, secure, and manage Power BI solutions
Use this when you need to learn the architecture, mechanics, dependencies, tradeoffs, failure paths, and verification logic behind the certification.
Decisions you will learn to distinguish
- Power Query transformation vs semantic-model calculation
- modeling/DAX problem vs visual/report-design problem
- data refresh/connectivity issue vs report-layer issue
Why JITA is different
Microsoft explains the platform. JITA teaches the decision.
Microsoft Learn explains the services, features, and documented behavior that support Power BI data analysis and semantic modeling. JITA connects those capabilities into decisions: what owns the requirement, what the nearest alternative is, what changes when one fact changes, and what evidence proves the implementation worked.
How to choose:
Use the Field Guide to build understanding. Use the Exam Preparation Guide to test whether that understanding survives exam-style decisions.