674 courses available
Microsoft
Use Delta Lake in Azure Synapse Analytics
Data ScienceUnits in this learning path:
• Introduction
• Understand Delta Lake
• Create Delta Tables
• Catalog Tables
• Use Delta Lake Streaming Data
• Delta with SQL
• Exercise Use Delta Lake
• Knowledge Check
• Summary
Products: Azure Synapse Analytics
Roles: Data Engineer
Level: Intermediate
Subjects: Data Analytics, Data Engineering, Data Storage
Duration: 74 minutes
Microsoft
Use Eventstream in Microsoft Fabric
Data ScienceUnits in this learning path:
• Introduction
• Event Stream Components
• Setup Event Streams
• Route Event Data to Destinations
• Exercise
• Knowledge Check
• Summary
Products: Fabric
Roles: Data Analyst, Data Engineer
Level: Beginner
Subjects: Data Management, Data Engineering, Data Integration
Duration: 57 minutes
Microsoft
Use MLflow in Azure Databricks
Data ScienceUnits in this learning path:
• Introduction
• Capabilities of Mlflow
• Run Experiments
• Register Serve Models
• Exercise Use Mlflow
• Knowledge Check
• Summary
Products: Azure Databricks
Roles: Data Scientist
Level: Intermediate
Subjects: Data Management, Machine Learning
Duration: 63 minutes
Microsoft
Use Power Apps Instrumentation with Application Insights
Data ScienceUnits in this learning path:
• 1 Introduction
• 2 Configure
• 3 View App Insights
• 4 Custom Logging
• 5 Exercise
• 6 Check
• 7 Summary
Products: Power Platform, Power Apps, Azure Monitor, Dataverse
Roles: Maker
Level: Intermediate
Subjects: Data Analytics
Duration: 38 minutes
Microsoft
Use Power BI in Microsoft Dynamics 365 Business Central
Data ScienceModules in this learning path:
• Create Data Set
• Build Power Bi Report
• Work Power Bi
Products: Dynamics 365, Dynamics Business Central
Roles: Functional Consultant, Developer
Level: Intermediate
Subjects: Data Analytics
Duration: 233 minutes
Microsoft
Use SQL Warehouses in Azure Databricks
Data ScienceUnits in this learning path:
• Introduction
• Get Started
• Create Databases Tables
• Create Queries Dashboards
• Exercise Use SQL Warehouse
• Knowledge Check
• Summary
Products: Azure Databricks
Roles: Data Engineer
Level: Intermediate
Subjects: Data Analytics, Data Engineering, Data Storage
Duration: 44 minutes
Microsoft
Use Search jobs in Microsoft Sentinel
Data ScienceUnits in this learning path:
• Introduction
• Hunt Search Job
• Restore Historical Data
• Knowledge Check
• Summary Resources
Products: Azure, Microsoft Sentinel
Roles: Security Operations Analyst
Level: Intermediate
Subjects: Data Analytics
Duration: 15 minutes
Microsoft
Use Spark Notebooks in an Azure Synapse Pipeline
Data ScienceUnits in this learning path:
• Introduction
• Understand Notebooks Pipelines
• Use Notebook Activity
• Notebook Parameters
• Exercise Use Spark Notebooks Pipeline
• Knowledge Check
• Summary
Products: Azure Synapse Analytics
Roles: Data Engineer
Level: Intermediate
Subjects: Data Engineering, Data Storage
Duration: 48 minutes
Microsoft
Use Success by Design for Dynamics 365 solutions
Data ScienceModules in this learning path:
• Success by Design
• Solution Blueprint
• Test Strategy
• Data Models
• Bi Analytics Design Dynamics 365
• Gap Solution Design Dynamics 365
• Data Migration
• Fast Track Security
• Plan and Implement Security in Dynamics 365 Finance Ops
• Integration
• Dual Write Dynamics 365
• Solution Performance
• Cutover Strategy Dynamics 365
• Post Go Live Dynamics 365
Products: Dynamics 365, Dynamics Sales, Customer Insights Journeys, Dynamics Customer Service, Dynamics Field Service, Dynamics Finance, Dynamics Scm, Dynamics Project Operations, Dynamics Commerce, Dynamics Human Resources
Roles: Solution Architect, Functional Consultant
Level: Advanced
Subjects: Data Visualization, Process Workflow
Duration: 784 minutes
Microsoft
Use a database with minimal API, Entity Framework Core, and ASP.NET Core
Data ScienceUnits in this learning path:
• Introduction
• What Is Entity Framework Core
• Exercise Add Entity Framework Core
• Add Sqlite Database Provider
• Exercise Use Sqlite Database
• Knowledge Check
• Summary
Products: Dotnet, Aspnet Core
Roles: Developer, Student
Level: Beginner
Subjects: Databases
Duration: 35 minutes
Microsoft
Use advanced formula techniques and custom updates in Power Platform
Data ScienceModules in this learning path:
• Author Advanced Formulas
• Choice Columns Formulas
• Reduce Complexity Dataverse Table
• Use Imperative Dev Techniques
• Perform Custom Updates
Products: Power Platform, Power Apps, Dataverse, Vs Code
Roles: Functional Consultant, Maker
Level: Advanced
Subjects: Business Applications, Data Analytics
Duration: 220 minutes
Microsoft
Use built-in functions and GROUP BY in Transact-SQL
Data ScienceUnits in this learning path:
• Introduction
• Categorize Functions
• Scalar Functions
• Ranking Rowset Functions
• Aggregate Functions
• Summarize Group by
• Filter Groups
• Exercise Built in Functions
• Knowledge Check
• Summary
Products: Azure SQL Database, SQL Server, Azure SQL Managed Instance, Azure Sqlserver Vm, Azure SQL Virtual Machines
Roles: Data Analyst, Data Engineer, Data Scientist, Database Administrator, Developer, Solution Architect, Student, Technology Manager
Level: Beginner
Subjects: Data Analytics, Databases
Duration: 59 minutes
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