Tricia Palanca
DA-100 | Analyzing Data with Power BI
Audience Profile
The audience for this course is 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 both in the cloud and on-premises.
Prerequisites
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the information found in the Azure Fundamentals course
Course Outline
Module 1: Get Started with Microsoft Data Analytics
Lessons
• Data Analytics and Microsoft
• Getting Started with Power BI
Module 2: Prepare Data in Power BI
Lessons
• Get data from various data sources
• Optimize performance
• Resolve data errors
Module 3: Clean, Transform, and Load Data in Power BI
Lessons
• Data shaping
• Enhance the data structure
• Data Profiling
Module 4: Design a Data Model in Power BI
Lessons
• Introduction to data modeling
• Working with tables
• Dimensions and Hierarchies
Module 5: Create Measures using DAX in Power BI
Lessons
• Introduction to DAX
• DAX context
• Advanced DAX
Module 6: Optimize Model Performance
Lessons
• Optimize the model for performance
• Optimize DirectQuery Models
• Create and manage Aggregations
Module 7: Create Reports
Lessons
• Design a report
• Enhance the report
Module 8: Create Dashboards
Lessons
• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard
Module 9: Create Paginated Reports in Power BI
Lessons
• Paginated report overview
• Create Paginated reports
Module 10: Perform Advanced Analytics
Lessons
• Advanced Analytics
• Data Insights through AI visuals
Module 11: Create and Manage Workspaces
Lessons
• Creating Workspaces
• Sharing and Managing Assets
Module 12: Manage Datasets in Power BI
Lessons
• Parameters
• Datasets
Module 13: Row-level Security
Lesson
• Security in Power BI
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