This course runs for a duration of 1 Day.
The class will run daily from 8 AM CT to 4 PM CT.
Class Location: Virtual LIVE Instructor Led - Virtual Live Classroom.
This course is designed to build practical skills in implementing data science and machine learning solutions using Microsoft Fabric. The course explores the complete end-to-end data science process, from understanding and exploring data to preparing and transforming datasets for analysis. Students will learn how to train, evaluate, and track machine learning models, as well as how to deploy those models and generate predictions using Microsoft Fabric tools and capabilities.
Who Should Attend?
This course is intended for data professionals and practitioners who regularly work with machine learning models and are responsible for building, evaluating, and deploying data science solutions. Students should already be familiar with the data science process, Python, and common open-source machine learning frameworks such as scikit-learn.
1 - Introduction to end-to-end analytics using Microsoft Fabric
2 - Get started with data science in Microsoft Fabric
3 - Explore data for data science with notebooks in Microsoft Fabric
4 - Preprocess data with Data Wrangler in Microsoft Fabric
5 - Train and track machine learning models with MLflow in Microsoft Fabric
6 - Generate batch predictions using a deployed model in Microsoft Fabric
You should be familiar with basic data concepts and terminology.
