DP-604: Implement a Data Science and Machine Learning solution for AI with Microsoft Fabric

• Get started with data science in Microsoft Fabric
• Explore data for data science with notebooks in Microsoft Fabric
• Preprocessing data with Data Wrangler in Microsoft Fabric
• Train and track machine learning models with MLflow on Microsoft Fabric
• Generate batch predictions using a model deployed on Microsoft Fabric

Introduction to Data Science in Microsoft Fabric

In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models, while easily accessing data from across the organization and collaborating with their fellow data professionals.

Explore data science insights with notebooks in Microsoft Fabric

Microsoft Fabric notebooks serve as a comprehensive tool for data exploration, allowing users to discover hidden patterns and relationships in their datasets.

Preprocessing data with Data Wrangler on Microsoft Fabric

Data Wrangler serves as a comprehensive tool for preprocessing data. It allows users to clean data, handle missing values, and transform features to build machine learning models.

Training and monitoring machine learning models with MLflow on Microsoft Fabric

In Microsoft Fabric, data scientists can train models in notebooks, track their work in experiments, and manage their models with MLflow.

Generating batch predictions using a model deployed on Microsoft Fabric

Save and use machine learning models in Microsoft Fabric to generate batch predictions and enrich data.

You should be familiar with basic data terminology and concepts

• Course: English / Spanish
• Labs: English / Spanish

This course is part of the Microsoft Applied Skills Credentials.

Explore the data science process and learn how to train machine learning models to achieve artificial intelligence on Microsoft Fabric.

Applied Skills: Explore all credentials in one guide