Detailed Course Outline
Introduction to end-to-end analytics using Microsoft Fabric
- Introduction
- Explore end-to-end analytics with Microsoft Fabric
- Explore data teams and Microsoft Fabric
- Enable and use Microsoft Fabric
- Module assessment
- Summary
Get started with data science in Microsoft Fabric
- Introduction
- Understand the data science process
- Explore and process data with Microsoft Fabric
- Train and score models with Microsoft Fabric
- Exercise - Explore data science in Microsoft Fabric
- Module assessment
- Summary
Explore data for data science with notebooks in Microsoft Fabric
- Introduction
- Explore notebooks
- Load data for exploration
- Understand data distribution
- Check for missing data in notebooks
- Apply advanced data exploration techniques
- Visualize charts in notebooks
- Exercise: Use notebook for data exploration in Microsoft Fabric
- Module assessment
- Summary
Preprocess data with Data Wrangler in Microsoft Fabric
- Introduction
- Understand Data Wrangler
- Perform data exploration
- Handle missing data
- Transform data with operators
- Exercise: Preprocess data with Data Wrangler in Microsoft Fabric
- Module assessment
- Summary
Train and track machine learning models with MLflow in Microsoft Fabric
- Introduction
- Understand how to train machine learning models
- Train and track models with MLflow and experiments
- Manage models in Microsoft Fabric
- Exercise - Train and track a model in Microsoft Fabric
- Module assessment
- Summary
Generate batch predictions using a deployed model in Microsoft Fabric
- Introduction
- Customize the model s behavior for batch scoring
- Prepare data before generating predictions
- Generate and save predictions to a Delta table
- Exercise - Generate and save batch predictions
- Module assessment
- Summary