PL-300T00: Microsoft Power BI Data Analyst
E-Learning
Description
This course will discuss 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 also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
This course will discuss 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 also show how to access and process data from a range of data sources including both relational and non-relational data. This course will also explore how to implement proper security standards and policies across the Power BI spectrum including datasets and groups. The course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Finally, this course will show how to build paginated reports within the Power BI service and publish them to a workspace for inclusion within Power BI.
After completing this course, you will be able to:
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
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 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.
| Lesson Id | Title | Description |
|---|---|---|
| 1 | Module 1: Get Started with Microsoft Data Analytics |
Data Analytics and Microsoft Getting Started with Power BI |
| 2 | Module 2: Prepare Data in Power BI | Get data from various data sources |
| 3 | Module 3: Clean, Transform, and Load Data in Power BI |
Data shaping Data Profiling Enhance the data structure |
| 4 | Module 4: Design a Data Model in Power BI |
Introduction to data modeling Working with tables Dimensions and Hierarchies |
| 5 | Module 5: Create Model Calculations using DAX in Power BI |
Introduction to DAX Real-time dashboards Advanced DAX |
| 6 | Module 6: Optimize Model Performance in Power BI |
Optimize the data model for performance Optimize DirectQuery Models |
| 7 | Module 7: Create Reports in Power BI |
Design a report Enhance the report |
| 8 | Module 8: Create Dashboards in Power BI |
Create a Dashboard Real-time Dashboards Enhance a Dashboard |
| 9 | Module 9: Identify Patterns and Trends in Power BI |
Advanced Analytics Data Insights through AI visuals |
| 10 | Module 10: Create and Manage Workspaces in Power BI |
Creating Workspaces Sharing and Managing Assets |
| 11 | Module 11: Manage Files and Datasets in Power BI |
Parameters Datasets |
| 12 | Module 12: Row-level Security in Power BI | Security in Power BI |