This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.
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.
This course is part of "Microsoft Certified: Power BI Data Analyst Associate" Certification.
Prerequisites:
Successful Data Analysts start this role with experience of working with data in the cloud. Specifically:
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
Module 3: Cleaning, Transforming, and Loading Data in Power BI
• Shaping the Data
• Profiling the Data
• Enhance the data structure
Module 4: Design a Data Model in Power BI
• Introduction to data modeling
• Working with tables
• Dimensions and Hierarchies
Module 5: Create Model Calculations using DAX in Power BI
• Introduction to DAX
• Real-time dashboards
• Advanced DAX
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
Module 8: Create Dashboards in Power BI
• Create a Dashboard
• Real-time Dashboards
• Enhance a Dashboard
Module 9: Identify Patterns and Trends in Power BI
• Advanced Analytics
• Data Insights through AI visuals
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
Ad hoc
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