Data Science with Microsoft Fabric

Overview

Unlock the power of Microsoft Fabric. In this course, Data Science with Microsoft Fabric, you’ll gain the ability to design, implement, integrate, and govern modern data science solutions.

First, you’ll explore how to craft data science solutions in Fabric, learning its architecture, advantages, limitations, and how it compares to other platforms, while identifying the best use cases. Next, you’ll discover how to build workflows in Fabric.

Then, you’ll learn to integrate AI with BI in Fabric, connect semantic models, leverage Azure AI services, and apply NLP to derive actionable insights while seamlessly blending AI with BI workflows. Finally, you’ll explore sustaining and governing solutions.

By the end of this course, you’ll have the skills to build scalable, governed data science solutions in Microsoft Fabric, integrating AI and BI effectively.

Syllabus

• Introduction to Microsoft Fabric
Overview of Microsoft Fabric architecture
Key advantages and limitations
Comparison with other data science platforms
Identifying ideal use cases for Microsoft Fabric
• Designing Data Science Solutions in Fabric
Planning methodologies for data science projects
Key components of a Fabric solution
Best practices for designing scalable solutions
• Implementing Workflows in Microsoft Fabric
Creating and managing data workflows
Tools and features for workflow automation
Hands-on workshop: Building a sample workflow
• Integrating AI with BI in Fabric
Connecting and utilizing semantic models
Leveraging Azure AI services within Fabric
Application of Natural Language Processing (NLP) for insights
Case study: Blending AI with BI workflows
• Governing and Sustaining Data Science Solutions
Governance frameworks and policies
Maintaining data integrity and security
Monitoring and optimizing Fabric solutions
• Practical Applications and Case Studies
Real-world examples of successful Fabric implementations
Capstone project: Designing a comprehensive solution using Fabric
• Course Conclusion and Skills Assessment
Review and Q&A session
Final assessment to evaluate understanding and skills acquisition

Taught by

Neeraj Kumar

Subjects

Programming