DA-100 – Analyzing Data with Microsoft Power BI

Module 1: Get Started with Microsoft Data Analytics

• Data Analytics and Microsoft
• Getting Started with Power BI

Module 2: Prepare Data in Power BI

• Get data from various data sources
• Optimize performance
• Resolve data errors

Module 3: Clean, Transform, and Load Data in Power BI

• Data shaping
• Enhance the data structure
• Data Profiling

Module 4: Design a Data Model in Power BI

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

Module 5: Create Measures using DAX in Power BI

• Introduction to DAX
• DAX context
• Advanced DAX

Module 6: Optimize Model Performance

• Optimze the model for performance
• Optimize DirectQuery Models
• Create and manage Aggregations

Module 7: Create Reports

• Design a report
• Enhance the report

Module 8: Create Dashboards

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

Module 9: Create Paginated Reports in Power BI

• Paginated report overview
• Create Paginated reports

Module 10: Perform Advanced Analytics

• Advanced Analytics
• Data Insights through AI visuals

Module 11: Create and Manage Workspaces

• Creating Workspaces
• Sharing and Managing Assets

Module 12: Manage Datasets in Power BI

• Parameters
• Datasets

Module 13: Row-level security

• Security in Power BI

The audience for this course 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.
You can gain the prerequisites and a better understanding of working with data in Azure by completing Microsoft Azure Data Fundamentals before taking this course.

• 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
• Create paginated reports in Power BI

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)