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Power BI allows you to easily connect to and present your data in an interactive report, so you can make data-driven decisions. Learn how to connect to data, transform and shape data, and create interactive visuals in a Power BI report. (DP-605T00)

Modules in this learning path:

• Get Started with Power Bi
• Get Data
• Clean Data Power Bi
• Configure Semantic Model Power Bi
• Power Bi Effective Reports
• Power Bi Copilot
• Introduction End Analytics Use Microsoft Fabric

Products: Fabric, Power Bi

Roles: Data Analyst

Level: Beginner

Subjects: Data Analytics, Data Visualization

Duration: 492 minutes

You'll learn how to use Power Query to extract data from different data sources, choose a storage mode, and connectivity type. You'll also learn to profile, clean, and load data into Power BI before you model your data.

Modules in this learning path:

• Get Data
• Clean Data Power Bi
• Choose Power Bi Model Framework

Products: Power Bi

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 273 minutes

When it's time to migrate data, the more you know, the easier it is to control operational complexity and reduce costs. Your customer's business continuity must be your priority. Learn how to prepare data for migration, by using the data management framework to manage data entities and data entity packages in finance and operations apps.

Units in this learning path:

• 1 Prepare Data Migration Module Introduction
• 2 Data Integration Strategy
• 3 Common Migration Scenarios Tools
• 4 Bring Your Own Database
• 5 Perform Test Migration Validate Output
• 6 Prepare Data Migration Quiz
• 7 Prepare Data Migration Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Functional Consultant, Developer

Level: Advanced

Subjects: Data Management, Migration

Duration: 84 minutes

Learn to design gold layers, configure Prep for AI features, and connect semantic models to enterprise ontology with Fabric IQ so that Copilot and AI agents deliver accurate, business-relevant insights.

Units in this learning path:

• Introduction
• Understand AI Needs
• Design Gold Layers
• Prepare Semantic Model
• Enterprise Ontology
• Validate Readiness
• Exercise
• Knowledge Check
• Summary

Products: Fabric, Power Bi

Roles: Data Engineer, Data Analyst

Level: Advanced

Subjects: Data Modeling

Duration: 79 minutes

Prepare to maintain SQL Server-based databases on Azure

Units in this learning path:

• Introduction
• Describe Azure Data Platform Roles
• Understand SQL Server Azure Virtual Machine
• Design Azure SQL Database for Cloud Native Applications
• Explore Azure SQL Database Managed Instance
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure SQL Managed Instance, Azure SQL Virtual Machines, SQL Server

Roles: Data Analyst, Data Engineer, Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 31 minutes

Explore the process of preparing data for machine learning models using the Data Wrangler tool in Microsoft Fabric notebooks.

Units in this learning path:

• Introduction
• Understand Data Wrangler
• Explore Data with Data Wrangler
• Handle Missing Data
• Transform Data
• Exercise Preprocess Data with Data Wrangler
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Beginner

Subjects: Data Management, Machine Learning

Duration: 70 minutes

Microsoft Purview Data Loss Prevention (DLP) helps safeguard sensitive information by monitoring and preventing accidental data leaks across your organization's digital platforms. In this module, you'll learn how to plan, deploy, and adjust DLP policies to protect sensitive data in your organization, ensuring security without disrupting daily work.

Units in this learning path:

• Introduction
• Data Loss Prevention Overview
• Plan Design Dlp
• Understand Dlp Deployment Simulation
• Create Manage Dlp Policies
• Adaptive Protection Dlp
• Dlp Analytics
• Manage Monitor Remediate
• Knowledge Check
• Summary

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Threat Protection, Cloud Computing

Duration: 68 minutes

This credential earner has the advanced skills to plan an analysis for a complex business issue. The individual has the technical knowledge and practical skills to analyze business scenarios; determine appropriate analysis techniques to solve business problems; create an analysis plan; select drivers, constraints, and KPIs; assess the relevance and validity of different data sources; document a business process; and create a data model. The earner has practiced essential workplace skills.

PostgreSQL supports stored procedures and functions to make SQL queries reusable. In this module, you learn how to create and run stored procedures and functions.

Units in this learning path:

• Introduction
• Create Stored Procedure Azure Database for Postgresql
• Call Stored Procedure Azure Database for Postgresql
• Create Use Function Azure Database for Postgresql
• Exercise Create Stored Procedure Azure Database for Postgresql
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Database Administrator

Level: Intermediate

Subjects: Databases

Duration: 30 minutes

Perform bulk operations on Azure Cosmos DB in bulk from code using the SDK.

Units in this learning path:

• Introduction
• Create Bulk Operations Sdk
• Review Bulk Operation Caveats
• Implement Bulk Best Practices
• Exercise Move Multiple Documents Bulk Sdk
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Engineering, Data Modeling, Data Storage

Duration: 33 minutes

Program with Transact-SQL

Modules in this learning path:

• Get Started Transact SQL Programming
• Create Stored Procedures Table Valued Functions
• Implement Error Handling Transact SQL
• Implement Transactions Transact SQL

Products: Azure SQL Database, Azure SQL Managed Instance, Azure SQL Virtual Machines, Azure Sqlserver Vm, SQL Server

Roles: Data Analyst, Data Engineer, Data Scientist, Database Administrator, Developer, Solution Architect, Student, Technology Manager

Level: Advanced

Subjects: Databases

Duration: 214 minutes

This credential earner has the advanced competencies to propose data-driven insights using SQL in a business context. The earner has knowledge of SQL skills and can conduct stakeholder interviews, explore and query data sets, decide on solutions, and present findings and recommendations. The earner has developed transferable employability skills and gained real industry experience in a project-based learning opportunity.