This course is designed to equip learners with the skills to implement data science and machine learning solutions using Microsoft Fabric. Participants will gain hands-on experience managing data, notebooks, experiments, and models, enabling them to seamlessly integrate data from across their organization and collaborate effectively with other data professionals. By the end of the course, attendees will be proficient in data exploration, preprocessing, model training, and generating predictions, all within the robust Microsoft Fabric environment.
Throughout the course, learners will delve into the data science process, explore datasets using notebooks, preprocess data with Data Wrangler, and utilize MLflow for model management. This comprehensive training ensures that participants can confidently build and deploy machine learning models to generate actionable insights, enhancing their data science capabilities.
Audience Profile
This course is ideal for data scientists, data analysts, and machine learning engineers who are looking to enhance their skills in implementing data science solutions using Microsoft Fabric. It is also suitable for professionals responsible for managing and integrating data within their organizations, seeking to leverage advanced data science tools and techniques.
Prerequisites
You should be familiar with basic data concepts and terminology.
Course Outline
Module 1: Get started with data science in Microsoft Fabric
- 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 2: Explore data for data science with notebooks in Microsoft Fabric
- 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 3: Preprocess data with Data Wrangler in Microsoft Fabric
- Understand Data Wrangler
- Perform data exploration
- Handle missing data
- Transform data with operators
- Exercise: Preprocess data with Data Wrangler in Microsoft Fabric
Module 4: Train and track machine learning models with MLflow in Microsoft Fabric
- 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 5: Generate batch predictions using a deployed model in Microsoft Fabric
- 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
