- Data Analytics and Microsoft
- Getting Started with Power BI
- Getting Started with Power BI
- 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
- Get data from various data sources
- Preparing Data in Power BI Desktop
- Identify and retrieve data from different data sources
- Understand the connection methods and their performance implications
- Use Microsoft Dataverse
- Connect to a data flow
Module 1: Get Started with Microsoft Data Analytics
This module explores the different roles in the data space, outlines the important roles and responsibilities of a Data Analysts, and then explores the landscape of the Power BI portfolio.
Lab:
After completing this module, students will be able to:
Module 2: Prepare Data in Power BI
This module explores identifying and retrieving data from various data sources. You will also learn the options for connectivity and data storage and understand the difference and performance implications of connecting directly to data vs. importing it.
Lessons:
Lab:
After completing this module, students will be able to:
- Data shaping
- Enhance the data structure
- Data Profiling
- Transforming and Loading Data in Power BI Desktop
- Apply data shape transformations
- Enhance the structure of the data
- Profile and examine the data
- Introduction to data modeling
- Working with tables
- Dimensions and Hierarchies
- Create Model Relationships
- Configure Tables
- Review the model interface
- Create Quick Measures
- Configure many-to-many relationships
- Enforce row-level security
- Understand the basics of data modeling
- Define relationships and their cardinality
- Implement Dimensions and Hierarchies
- Create histograms and rankings
Module 3: Clean, Transform, and Load Data in Power BI
This module teaches you the process of profiling and understanding the condition of the data. They will learn how to identify anomalies, look at the size and shape of their data, and perform the proper data cleaning and transforming steps to prepare the data for loading into the model.
Lab:
After completing this module, students will be able to:
Module 4: Design a Data Model in Power BI
This module teaches the fundamental concepts of designing and developing a data model for proper performance and scalability. This module will also help you understand and tackle many of the common data modeling issues, including relationships, security, and performance.
Lab: Data Modeling in Power BI Desktop
Lab:Advanced Data Modeling in Power BI Desktop
After completing this module, students will be able to:
- Introduction to DAX
- DAX context
- Advanced DAX
- Use the CALCULATE() function to manipulate filter context
- Use Time Intelligence functions
- Create calculated tables
- Create calculated columns
- Create measures
- Understand DAX
- Use DAX for simple formulas and expression
- Create calculated tables and measures
- Build simple measures
- Work with Time Intelligence and Key Performance Indicators
- Optimze the model for performance
- Optimize DirectQuery Models
- Create and manage Aggregations
- Understand the importance of variables
- Enhance the data model
- Optimize the storage model
- Implement aggregations
Module 5: Create Model Calculations using DAX in Power BI
This module introduces you to the world of DAX and its true power for enhancing a model. You will learn about aggregations and the concepts of Measures, calculated columns and tables, and Time Intelligence functions to solve calculation and data analysis problems.
Lab:Advanced DAX in Power BI Desktop
Lab: Introduction to DAX in Power BI Desktop
After completing this module, students will be able to:
Module 6: Optimize Model Performance in Power BI
In this module you are introduced to steps, processes, concepts, and data modeling best practices necessary to optimize a data model for enterprise-level performance.
After completing this module, students will be able to:
- Design a report
- Enhance the report
- Create a live connection in Power BI Desktop
- Design a report
- Configure visual fields and format properties
- Create and configure Sync Slicers
- Create a drillthrough page
- Apply conditional formatting
- Create and use Bookmarks
- Design a report page layout
- Select and add effective visualizations
- Add basic report functionality
- Add report navigation and interactions
- Improve report performance
- Design for accessibility
- Create a Dashboard
- Real-time Dashboards
- Enhance a Dashboard
- Create a Dashboard
- Pin visuals to a Dashboard
- Configure a Dashboard tile alert
- Use Q&A to create a dashboard tile
- Create a Dashboard
- Understand real-time Dashboards
- Enhance Dashboard usability
Module 7: Create Reports in Power BI
This module introduces you to the fundamental concepts and principles of designing and building a report, including selecting the correct visuals, designing a page layout, and applying basic but critical functionality. The important topic of designing for accessibility is also covered.
Lab: Designing a report in Power BI Desktop
Lab: Enhancing reports with interaction and formatting in Power BI Desktop
After completing this module, students will be able to:
Module 8: Create Dashboards in Power BI
In this module you will learn how to tell a compelling story through the use of dashboards and the different navigation tools available to provide navigation. You will be introduced to features and functionality and how to enhance dashboards for usability and insights.
Lab: Creating a Dashboard in Power BI Service
After completing this module, students will be able to:
- Paginated report overview
- Create Paginated reports
- Use Power BI Report Builder
- Design a multi-page report layout
- Define a data source
- Define a dataset
- Create a report parameter
- Export a report to PDF
- Explain paginated reports
- Create a paginated report
- Create and configure a data source and dataset
- Work with charts and tables
- Publish a report
- Advanced Analytics
- Data Insights through AI visuals
- Create animated scatter charts
- Use the visual to forecast values
- Work with Decomposition Tree visual
- Work with the Key Influencers visual
- Explore statistical summary
- Use the Analyze feature
- Identify outliers in data
- Conduct time-series analysis
- Use the AI visuals
- Use the Advanced Analytics custom visual
Module 9: Enhance reports for usability and storytelling in Power BI
This module will teach you about paginated reports, including what they are how they fit into Power BI. You will then learn how to build and publish a report.
Lab:
After completing this module, students will be able to:
Module 10: Perform Advanced Analytics in Power BI
This module helps you apply additional features to enhance the report for analytical insights in the data, equipping you with the steps to use the report for actual data analysis. You will also perform advanced analytics using AI visuals on the report for even deeper and meaningful data insights
Lab: Data Analysis in Power BI Desktop
After completing this module, students will be able to:
- Parameters
- Datasets
- Security in Power BI
- Create and work with parameters
- Manage datasets
- Configure dataset refresh
- Troubleshoot gateway connectivity
- Understand the aspects of Power BI security
- Configure row-level security roles and group memberships
- Creating Workspaces
- Sharing and Managing Assets
- Map security principals to dataset roles
- Share a dashboard
- Publish an App
- Create and manage a workspace
- Understand workspace collaboration
- Monitor workspace usage and performance
- Distribute an App
Module 11: Manage Datasets in Power BI
In this module you will learn the concepts of managing Power BI assets, including datasets and workspaces. You will also publish datasets to the Power BI service, then refresh and secure them.
After completing this module, students will be able to:
Module 12: Create and Manage Workspaces in Power BI
This module will introduce you to Workspaces, including how to create and manage them. You will also learn how to share content, including reports and dashboards, and then learn how to distribute an App.
Lab:Publishing and Sharing Power BI Conten
After completing this module, students will be able to: