In this course you'll learn how to leverage statistical techniques for working with categorical data.

In this course you'll learn how to perform inference using linear models.

In this course you'll learn techniques for performing statistical inference on numerical data.

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

Discover how to use Apache Spark and Python for data ingestion into a Microsoft Fabric lakehouse. Fabric notebooks provide a scalable and systematic solution.

Master insurance risk assessment using the Monte Carlo method with Spark. Learn how to simulate risk scenarios and use big data processing to make more accurate predictions and improve decision-making in the insurance sector.

Dive into insurance modeling and basic statistical analysis. Learn to apply probability, risk modeling, and statistical methods to assess insurance claims, pricing, and risk management strategies using real-world insurance data.

Train a base language model on a chat-completion task. The model catalog in the Azure AI Studio offers many open-source models that can be fine-tuned for your specific model behavior needs.

Learn how Azure Synapse Analytics integrates with other Azure Data and AI services.

Learn how to integrate Microsoft Purview with Azure Synapse Analytics to improve data discoverability and lineage tracking.

Transactions are great, but sometimes you need something more than total success or total failure. This course will teach you how to implement error handling to create sophisticated error handling flows.