Who should take this course?
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
- 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.
The Training Covers These Topics:
- 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
Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
Getting Data in Power BI
- Data Analytics and Microsoft
- Optimize Performance
- Resolve Data Errors
Cleaning, Transforming, and Loading Data in Power BI
- Shaping the Data
- Profiling the Data
- Enhance the data structure
Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
Create Model Calculations using DAX in Power BI
- Introduction to DAX
- Real-time dashboards
- Advanced DAX
Optimize Model Performance in Power BI
- Optimize the data model for performance
- Optimize DirectQuery Models
Create Reports in Power BI
- Design a report
- Enhance the report
Create Dashboards in Power BI
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
Identify Patterns and Trends in Power BI
- Advanced Analytics
- Data Insights through AI visuals
Create and Manage Workspaces in Power BI
- Creating Workspaces
- Sharing and Managing Assets
Manage Files and Datasets in Power BI
- Parameters
- Datasets
Row-level Security in Power BI
- Security in Power BI