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Microsoft

Visualize real-time data with Azure Stream Analytics and Power BI

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By combining the stream processing capabilities of Azure Stream Analytics and the data visualization capabilities of Microsoft Power BI, you can create real-time data dashboards.

Units in this learning path:

• Introduction
• Power Bi Output
• Realtime Query
• Create Real Time Data Visualizations Power Bi
• Exercise Create Real Time Data Visualization
• Knowledge Check
• Summary

Products: Azure, Azure Stream Analytics, Power Bi

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 68 minutes

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IBM

Web Application Testing and Deployment

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This credential earner has the advanced skills and ability to apply Jest, Mocha, Chai, and Supertest for testing a web application, debug JavaScript code using browser developer tools and debugging options in VS Code, and apply Git and GitHub for collaborative development and continuous integration. The individual can identify performance improvement techniques and service models in cloud computing and various cloud deployment tools. The earner has practiced essential workplace skills.
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IBM

Web Development Fundamentals

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This credential earner demonstrates knowledge of web development concepts, processes to develop, deploy, and test websites, and the tools and programming languages that web developers use. The individual has a conceptual understanding of how to develop an interactive website using HTML, CSS, and JavaScript in a simulated integrated development environment (IDE). The earner is aware of the job outlook in web development and is familiar with the skills required for success in various roles.
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IBM

Web Development with Python

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This credential earner demonstrates applied proficiency in web development, Python programming, and debugging in Python. The individual can develop basic web pages, perform version control with Git, code in Python, and automate tests using Python.
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Microsoft

Work like a pro with data in Business Central

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Are you just getting started with Business Central? This learning path will help prepare you for the types of data in Business Central and how to find information you need in the application.

Modules in this learning path:

• Explore Modify Info Dynamics 365 Business Central
• Search Filter Sort Data Dynamics 365 Business Central
• Master Supplemental Personal Data Dynamics 365 Business Central

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Data Management

Duration: 138 minutes

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Microsoft

Work smarter with Copilot in Microsoft Fabric

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Explore how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, store data, and create insightful reports using Copilot in Microsoft Fabric.

Modules in this learning path:

• Introduction to Copilot Fabric
• Get Started Copilot Fabric Data Engineering
• Get Started Copilot Fabric Data Warehouse
• Power Bi Copilot
• Implement Fabric Data Agents
• Manage Copilot Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration, Data Management, Data Modeling, Data Storage, Data Visualization

Duration: 261 minutes

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Microsoft

Work with Customer Service Insights

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Learn how to configure and work with Customer Service Insights.

Modules in this learning path:

• Get Started Customer Service Insights
• Customer Service Visualizations

Products: Dynamics 365, Dynamics Customer Service

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Data Analytics, Customer Relationship Management, Data Visualization

Duration: 99 minutes

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Microsoft

Work with Delta Lake tables in Microsoft Fabric

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Tables in a Microsoft Fabric lakehouse are based on the Delta Lake technology commonly used in Apache Spark. By using the enhanced capabilities of delta tables, you can create advanced analytics solutions.

Units in this learning path:

• Introduction
• Understand Delta Lake
• Create Delta Tables
• Optimize Delta Tables
• Work Delta Data
• Use Delta Lake Streaming Data
• Exercise Delta Tables
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 68 minutes

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Microsoft

Work with Trade master data in Microsoft Dynamics 365 Business Central

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Learn about the master data that is important when you work with Trade in Business Central. This module also provides an overview of items, customers, and vendors.

Units in this learning path:

• 1 Items
• Costing Methods
• 1a Measure
• 2 Characteristics
• Use Copilot Create AI Powered Marketing Texts
• 2a Item Categories
• 3 Customers
• 3a Merge Customers
• 4 Vendors
• 4 1 Merge Vendors
• 4a Resources
• 4b Salespeople
• 4c Use Templates
• 5 Exercise
• 6 Check
• 7 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Data Management

Duration: 130 minutes

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Microsoft

Work with analytics and reporting in finance and operations apps

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Empower business users to make important decisions by using analytics and reporting in finance and operations apps.

Units in this learning path:

• 1 Analytics Reporting Introduction
• 2 Different Types Reports Inquiries
• 3 Financial Reporting
• 4 Find Inquiries Reports
• 4 1 Generate Consume Inquiries Reports
• 5 Power Platform
• 6 Exercise Generate Explore Financial Report
• 12 Analytics Reporting Quiz
• 13 Analytics Reporting Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Business User, Functional Consultant, Solution Architect

Level: Intermediate

Subjects: Data Analytics

Duration: 68 minutes

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Microsoft

Work with asynchronous integrations in finance and operations apps

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Set up recurring integrations to enable exchange of documents between finance and operations and other apps.

Units in this learning path:

• 1 Introduction
• 2 Data Project
• 6 Exercise
• 3 Authorize
• Monitor Status Entities
• Develop Data Transformation
• 4 Cds
• Dataverse Virtual Entities
• 5 Composite
• 5 2 Azure Data Lake Entity Store
• Connect Azure Data Lake
• Change Data Azure Data Lake
• 5 3 Power Platform Convergence
• 7 Check
• 8 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer, Solution Architect

Level: Advanced

Subjects: Data Management

Duration: 140 minutes

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Microsoft

Work with data in Microsoft Sentinel using Kusto Query Language

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Work with data in Microsoft Sentinel using Kusto Query Language

Units in this learning path:

• Introduction
• Extract Data from Unstructured String Fields
• Extract Data from Structured String Data
• Integrate External Data
• Create Parsers with Functions
• Knowledge Check
• Summary Resources

Products: Microsoft Sentinel, Azure Log Analytics

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 36 minutes

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