Microsoft Power BI Data Analyst

Discover data analysis

Would you like to explore the journey of a data analyst and learn how a data analyst tells a story with data? In this module, you explore the different roles in data and learn the different tasks of a data analyst.

• Overview of data analysis
• Roles in data
• Tasks of a data analyst
• Check your knowledge
• Summary

Get started building with Power BI

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.

• Use Power BI
• Building blocks of Power BI
• Tour and use the Power BI service

Introduction to end-to-end analytics using Microsoft Fabric

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.

• Explore end-to-end analytics with Microsoft Fabric
• Explore data teams and Microsoft Fabric
• Enable and use Microsoft Fabric
• Module assessment

Get started with Copilot in Power BI

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.

• 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

Get data in Power BI

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.

• 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

Clean, transform, and load data in Power BI

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.

• 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

Choose a Power BI model framework

Choose a Power BI model framework

• Describe Power BI model fundamentals
• Determine when to develop an import model
• Determine when to develop a DirectQuery model
• Determine when to develop a composite model
• Choose a model framework
• Module assessment

Configure a semantic model

Semantic models organize complex data into an intuitive structure, enhancing data visualization and enabling efficient, insightful reporting for better decision-making.

• Configure relationships
• Configure tables
• Configure columns
• Configure hierarchies
• Configure measures
• Configure parameters
• Exercise - Configure a semantic model in Power BI Desktop
• Check your knowledge

Write DAX formulas for semantic models

Data Analysis Expressions (DAX) is a formula language for Power BI that enables you to create calculations, add logic, and enhance data analysis within your reports and semantic models.

• Understand DAX calculation types
• Write DAX formulas
• DAX data types
• Work with DAX functions
• Use DAX operators
• Use DAX variables
• Check your knowledge

Create DAX calculations in semantic models

Adding DAX calculations to Power BI semantic models allows you to define custom logic within your data model, to enable deeper analysis and data-driven business decisions.

• Create calculated tables
• Create calculated columns
• Understand implicit measures
• Create explicit measures
• Use iterator functions
• Exercise - Create DAX calculations
• Check your knowledge

Modify DAX filter context in semantic models

Modifying the filter context in DAX lets you control how calculations evaluate data in Power BI semantic models. Gain deeper insights and tailor your analysis in your reports by choosing exactly what data is included in calculations.

• Understand filter context
• Modify filter context
• Use filter modifier functions
• Examine filter context
• Perform context transition
• Exercise - Modify DAX filter context
• Check your knowledge

Use DAX time intelligence functions in semantic models

DAX time intelligence functions in Power BI enable users to analyze and compare data across different time periods, supporting insightful reporting on trends, growth, and performance over time.

• Use DAX time intelligence functions
• Additional time intelligence calculations
• Exercise - Use time intelligence functions
• Check your knowledge

Create visual calculations in Power BI Desktop

Calculations in Power BI are necessary to enrich data analysis. Visual calculations simplify complex formulas, enhance performance, and reduce maintenance.

• Understand visual calculations
• Create visual calculations
• Use parameters in visual calculations
• Exercise - Create visual calculations in Power BI Desktop
• Module assessment

Optimize a model for performance in Power BI

Performance optimization, also known as performance tuning, involves making changes to the current state of the semantic model so that it runs more efficiently. Essentially, when your semantic model is optimized, it performs better.

• Introduction to performance optimization
• Describe semantic model optimization techniques
• Review performance of measures, relationships, and visuals
• Use variables to improve performance and troubleshooting
• Reduce cardinality
• Optimize DirectQuery models with table level storage
• Create and manage aggregations
• Check your knowledge

Scope report design requirements

Identify your audience, choose suitable report types, and define interface and experience requirements to effectively plan your report design.

• Identify the audience
• Determine report types
• Define user interface requirements
• Define user experience requirements
• Explore designs in a Power BI report
• Check your knowledge

Design Power BI reports

Design effective Power BI reports that are visually appealing and easy to understand with consistent report structure, interactive objects, and filtering.

• 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

Enhance Power BI report designs for the user experience

Enhance Power BI report designs for the user experience

• Design reports to show details
• Design reports to highlight values
• Design reports that behave like apps
• Work with bookmarks
• Design reports for navigation
• Work with visual headers
• Design reports with built-in assistance
• Tune report performance
• Optimize reports for mobile use
• Exercise - Enhance Power BI reports
• Check your knowledge

Perform analytics in Power BI

Advanced analytics helps you gain deeper insights into your data, identify trends, and make data-driven decisions. Power BI provides a variety of tools and features to help you analyze your data effectively.

• Introduction to analytics
• Explore statistical summary
• Identify outliers with Power BI visuals
• Group and bin data for analysis
• Apply clustering techniques
• Conduct time series analysis
• Use the Analyze feature
• Create what-if parameters
• Use specialized visuals
• Exercise - Perform analytics in Power BI
• Check your knowledge

Manage workspaces in Power BI service

Explore the Power BI service, create and manage workspaces, and distribute reports to users.

• Understand Power BI service
• Understand workspaces
• Publish to Power BI service
• Check your knowledge

Manage semantic models in Power BI

Semantic models are the foundation for report development in Power BI. Efficient management ensures data connectivity and improves report performance and accuracy.

• Use a Power BI gateway to connect to on-premises data sources
• Configure a semantic model scheduled refresh
• Configure incremental refresh settings
• Manage and promote semantic models
• Boost performance with query caching (Fabric or Premium capacity)
• Use lineage and impact analysis
• Check your knowledge

Choose a content distribution method

Choose a content distribution method for Power BI.

• Understand sharing models
• Create a Power BI app
• Apply data governance principles
• Track report or dashboard usage
• Check your knowledge

Create dashboards in Power BI

Microsoft Power BI dashboards are different than Power BI reports. Dashboards allow report consumers to create a single artifact of directed data that is personalized just for them. Dashboards can be composed of pinned visuals that are taken from different reports. Where a Power BI report uses data from a single semantic model, a Power BI dashboard can contain visuals from different semantic models.

• Introduction to dashboards
• Configure data alerts
• Explore data by asking questions
• Review Quick insights
• Add a dashboard theme
• Pin a live report page to a dashboard
• Set mobile view
• Exercise - Create dashboards in Power BI
• Check your knowledge

Secure data access in Power BI

Row-level security (RLS) and Object-level security (OLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you'll learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.

• Configure row-level security with the static method
• Configure row-level security with the dynamic method
• Use single sign-on (SSO) for DirectQuery sources
• Restrict access to Power BI model objects
• Exercise - Enforce row-level security in Power BI
• Check your knowledge