Extract knowledge and insights from your data with Azure Databricks

Solution Architect
Data Scientist
Data Engineer

Learn how to use Azure Databricks to perform predictive and analytical Data Science techniques, such as exploratory data analysis, model training, text analytics and deep learning.


An Azure subscription.

Modules in this learning path

Introduction to Azure Databricks

Learn the fundamentals of Azure Databricks and Apache Spark notebooks.

Read and write data by using Azure Databricks

Use Azure Databricks to work with multiple data sources, combining inputs from files and data stores such as Azure SQL Database, and transform and store that data for advanced analytics.

Perform exploratory data analysis with Azure Databricks

Learn the fundamentals of using Azure Databricks notebooks to do basic and advanced exploratory data analysis.

Train, evaluate, and select machine-learning models with Azure Databricks

Training a machine-learning model to have high predictive accuracy is crucial if you're a data scientist. This module focuses on basic and advanced techniques for training a machine-learning model and how these techniques are supported by Azure Databricks.

Deep learning with Azure Databricks

In this module, you'll investigate techniques for developing machine-learning models based on neural networks. The main purpose of this module is to build your understanding of deep learning.

Perform text analytics with Azure Databricks

In this module, you will investigate techniques for developing machine learning models used in text analytics. You will do this by applying two different text analytics scenarios demonstrating some of its most important aspects - movie classification and claim classification.