- Power BI is a collection of software services and applications that let you connect to all sorts of data sources and create compelling visuals and reports. Learn the basics of Power BI, how its services and applications work together, and how to create or experience visuals and analytics based on your data.
In this module, you'll learn:
- How Power BI services and applications work together.
- Explore how Power BI can make your business more efficient.
- How to create compelling visuals and reports.
- You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.
By the end of this module, you'll be able to:
- Identify and connect to a data source
- Get data from a relational database, like Microsoft SQL Server
- Get data from a file, like Microsoft Excel
- Get data from applications
- Get data from Azure Analysis Services
- Select a storage mode
- Fix performance issues
- Resolve data import errors
- Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You'll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You'll also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
By the end of this module, you’ll be able to:
- Resolve inconsistencies, unexpected or null values, and data quality issues.
- Apply user-friendly value replacements.
- Profile data so you can learn more about a specific column before using it.
- Evaluate and transform column data types.
- Apply data shape transformations to table structures.
- Combine queries.
- Apply user-friendly naming conventions to columns and queries.
- Edit M code in the Advanced Editor.
- Semantic models organize complex data into an intuitive structure, enhancing data visualization and enabling efficient, insightful reporting for better decision-making.
In this module, you learn how to:
- Set modeling options.
- Create and configure relationships.
- Configure table and column properties.
- Create hierarchies.
- Create quick measures.
- Create numeric range and field parameters.
- Design effective Power BI reports that are visually appealing and easy to understand with consistent report structure, interactive objects, and filtering.
In this module, you learn about:
- Report structure.
- Report objects.
- Different visualization types.
- Copilot in Power BI allows you to interact with your data using natural language to gain insights. Copilot also increases productivity when create reports using Power BI.
By the end of this module, you'll understand how to:
- Use Copilot in Power BI during report development.
- Prepare semantic models for use with AI.
- Interact with data using natural language in Copilot Chat.
- Discover how Microsoft Fabric can meet your enterprise's analytics needs in one platform. Discover the capabilities Fabric has to offer, understand how it works, and identify how you can use Fabric for your analytics needs.
In this module, you learn how to:
- Identify the capabilities of Microsoft Fabric.
- Implement Microsoft Fabric to meet your enterprise's analytics needs.
- Describe how Fabric supports AI capabilities through Copilot, data agents, and Fabric IQ.
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Syllabus
- Get started building with Power BI
- Introduction
- Use Power BI
- Building blocks of Power BI
- Tour and use the Power BI service
- Knowledge check
- Summary
- Get data in Power BI
- Introduction
- Get data from files
- Get data from relational data sources
- Create dynamic reports with parameters
- Get data from a NoSQL database
- Get data from online services
- Select a storage mode
- Get data from Azure Analysis Services
- Fix performance issues
- Resolve data import errors
- Exercise - Get data in Power BI
- Check your knowledge
- Summary
- Clean, transform, and load data in Power BI
- Introduction
- Shape the initial data
- Simplify the data structure
- Evaluate and change column data types
- Combine multiple tables into a single table
- Profile data in Power BI
- Use Advanced Editor to modify M code
- Exercise - Load data in Power BI Desktop
- Check your knowledge
- Summary
- Configure a semantic model
- Introduction
- Configure relationships
- Configure tables
- Configure columns
- Configure hierarchies
- Configure measures
- Configure parameters
- Exercise - Configure a semantic model in Power BI Desktop
- Check your knowledge
- Summary
- Design Power BI reports
- Introduction
- Design the analytical report layout
- Design visually appealing reports
- Use report objects
- Select report visuals
- Apply filters and slicers to reports
- Understand filtering techniques and considerations
- Case study - Configure report filters based on feedback
- Exercise - Design Power BI reports
- Check your knowledge
- Summary
- Get started with Copilot in Power BI
- Introduction
- Use Copilot in Power BI to prepare and model data
- Create reports with Copilot in Power BI
- Get your data ready for AI usage in Power BI
- Module assessment
- Summary
- Introduction to end-to-end analytics using Microsoft Fabric
- Introduction
- Explore end-to-end analytics with Microsoft Fabric
- Explore data teams and Microsoft Fabric
- Enable and use Microsoft Fabric
- Module assessment
- Summary