Get started tutorials on Databricks

The tutorials in this section introduce core features and guide you through the basics of working with the Databricks platform.

For information about online training resources, see Get free Databricks training.

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Tutorial	Description
Query and visualize data	Use a Databricks notebook to query sample data stored in Unity Catalog using SQL, Python, Scala, and R, and then visualize the query results in the notebook.
Import and visualize CSV data from a notebook	Use a Databricks notebook to import data from a CSV file containing baby name data from `https://health.data.ny.gov` into your Unity Catalog volume using Python, Scala, and R. You also learn to modify a column name, visualize the data, and save to a table.
Create a table	Create a table and grant privileges in Databricks using the Unity Catalog data governance model.
Build an ETL pipeline using DLT	Create and deploy an ETL (extract, transform, and load) pipeline for data orchestration using DLT and Auto Loader.
Build an ETL pipeline using Apache Spark	Develop and deploy your first ETL (extract, transform, and load) pipeline for data orchestration with Apache Spark™.
Train and deploy an ML model	Build a machine learning classification model using the scikit-learn library on Databricks to predict whether a wine is considered “high-quality”. This tutorial also illustrates the use of MLflow to track the model development process, and Hyperopt to automate hyperparameter tuning.
Query LLMs and prototype AI agents with no-code	Use the AI Playground to query large language models (LLMs) and compare results side-by-side, prototype a tool-calling AI agent, and export your agent to code.

Get help

If you have any questions about setting up Databricks and need live help, please e-mail [email protected].

If you have a Databricks support package, you can open and manage support cases with Databricks. See Learn how to use Databricks support.

If your organization does not have a Databricks support subscription, or if you are not an authorized contact for your company's support subscription, you can get answers from the Databricks Community.