About Course
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.
Course 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.
Course Outlines:
Module 1: Get Started with Microsoft Data Analytics
- Data Analytics and Microsoft
- Getting Started with Power BI
After completing this module, you will be able to:
- Explore the different roles in data
- Identify the tasks that are performed by a data analyst
- Describe the Power BI landscape of products and services
- Use the Power BI service
Module 2: Prepare Data in Power BI
- Get data from various data sources
- Optimize performance
- Resolve data errors
After completing this module, you will be able to:
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Optimize query performance
- Resolve data import errors
Module 3: Clean, Transform, and Load Data in Power BI
- Data shaping
- Enhance the data structure
- Data Profiling
After completing this module, you will be able to:
- Apply data shape transformations
- Enhance the structure of the data
- Profile and examine the data
Module 4: Design a Data Model in Power BI
- Introduction to data modeling
- Working with tables
- Dimensions and hierarchies
After completing this module, you will be able to:
- Understand the basics of data modeling
- Define relationships and their cardinality
- Implement dimensions and hierarchies
- Create histograms and rankings
Module 5: Create Model Calculations using DAX in Power BI
- Introduction to DAX
- DAX context
- Advanced DAX
After completing this module, you will be able to:
- Understand DAX
- Use DAX for simple formulas and expressions
- Create calculated tables and measures
- Build simple measures
- Work with Time Intelligence and Key Performance Indicators
Module 6: Optimize Model Performance
- Optimize the model for performance
- Optimize Direct Query Models
- Create and manage Aggregations
After completing this module, you will be able to:
- Understand the importance of variables
- Enhance the data model
- Optimize the storage model
- Implement aggregations
Module 7: Create Reports
- Design a report
- Enhance the report
After completing this module, you will be able to:
- Design a report page layout
- Select and add effective visualizations
- Add basic report functionality
- Add navigation report and interactions
- Improve report performance
- Design for accessibility
Module 8: Create Dashboards
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
After completing this module, you will be able to:
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
Module 9: Create Paginated Reports in Power BI
- Paginated report overview
- Create Paginated reports
After completing this module, you will be able to:
- Explain paginated reports
- Create a paginated report
- Create and configure a data source and dataset
- Work with charts and tables
- Publish a report
