PL-300 – Microsoft Power BI Data Analyst

Module 1: Get Started with Microsoft Data Analytics

• Data Analytics and Microsoft
• Getting Started with Power BI

Module 2: Getting Data in Power BI

• Data Analytics and Microsoft
• Optimize Performance
• Resolve Data Errors

Lab: Preparing Data in Power BI Desktop

Module 3: Cleaning, Transforming, and Loading Data in Power BI

• Shaping the Data
• Profiling the Data
• Enhance the data structure

Lab: Loading Data in Power BI Desktop

Module 4: Design a Data Model in Power BI

• Introduction to data modeling
• Working with tables
• Dimensions and Hierarchies

Lab: Data Modeling in Power BI Desktop

Module 5: Create Model Calculations using DAX in Power BI

• Introduction to DAX
• Real-time dashboards
• Advanced DAX

Lab: Introduction to DAX in Power BI Desktop
Lab: Advanced DAX in Power BI Desktop

Module 6: Optimize Model Performance in Power BI

• Optimize the data model for performance
• Optimize DirectQuery Models

Module 7: Create Reports in Power BI

• Design a report
• Enhance the report

Lab: Enhancing reports with interaction and formatting in Power BI Desktop
Lab: Designing a report in Power BI Desktop

Module 8: Create Dashboards in Power BI

• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard

Lab: Creating a Dashboard in Power BI Service

Module 9: Identify Patterns and Trends in Power BI

• Advanced Analytics
• Data Insights through AI visuals

Lab: Data Analysis in Power BI Desktop

Module 10: Create and Manage Workspaces in Power BI

• Creating Workspaces
• Sharing and Managing Assets

Module 11: Manage Files and Datasets in Power BI

• Parameters
• Datasets

Module 12: Row-level Security in Power BI

• Security in Power BI

Lab: Enforce Row-Level Security

The audience for the course PL-300 Microsoft Power BI Data Analyst are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises.

Successful Data Analysts start this role with experience of working with data in the cloud.

Specifically:

• Understanding core data concepts.
• Knowledge of working with relational data in the cloud.
• Knowledge of working with non-relational data in the cloud.
• Knowledge of data analysis and visualization concepts.

• Ingest, clean, and transform data
• Model data for performance and scalability
• Design and create reports for data analysis
• Apply and perform advanced report analytics
• Manage and share report assets

The training includes:
• Digital version of Microsoft Learning (MSL) official student training kit in English (Digital MOC)
• Virtual Lab platform access (180 days)
• MeasureUp Practice Test (exam simulation)