Data Preparation for Machine Learning

This course focuses on the fundamentals of preparing data for machine learning using Databricks. Participants will learn essential skills for exploring, cleaning, and organizing data tailored for traditional machine learning applications. Key topics include data visualization, feature engineering, and optimal feature storage strategies. Through practical exercises, participants will gain hands-on experience in efficiently preparing data sets for machine learning within the Databricks. This course is designed for associate-level data scientists and machine learning practitioners. and individuals seeking to enhance their proficiency in data preparation, ensuring a solid foundation for successful machine learning model deployment.

Note:

1. This is the first course in the 'Machine Learning with Databricks’ series.

2. Databricks Academy is transitioning from video lectures to a more streamlined PDF format with slides and notes for all self-paced courses. Please note that demo videos will still be available in their original format. We would love to hear your thoughts on this change, so please share your feedback through the course survey at the end. Thank you for being a part of our learning community!

Skill Level

Associate

Duration

Prerequisites

Familiarity with Databricks workspace and notebooks
Familiarity with Delta Lake and Lakehouse
Intermediate level knowledge of Python

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Customer registration Partner registration

See all our registration options

Registration options

Databricks has a delivery method for wherever you are on your learning journey

Self-Paced

Custom-fit learning paths for data, analytics, and AI roles and career paths through on-demand videos

Instructor-Led

Public and private courses taught by expert instructors across half-day to two-day courses

Blended Learning

Self-paced and weekly instructor-led sessions for every style of learner to optimize course completion and knowledge retention. Go to Subscriptions Catalog tab to purchase

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Skills@Scale

Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details

Upcoming Public Classes

Get Started with Databricks Free Edition

This Get Started with Databricks Free Edition workshop introduces new users to the Databricks environment through two guided notebooks:

01 - Databricks Workspace Tour

⇾ Walk through the main workspace navigation and settings

⇾ Run notebooks in both Python and SQL

⇾ Format notebook content using basic Markdown

02 - Get Started with Databricks Free Edition

⇾ Explore Unity Catalog objects (catalogs, schemas, tables, volumes)

⇾ Upload a local file into a Volume

⇾ Access and use data from Databricks Marketplace

⇾ Ingest and visualize data within a notebook

⇾ Get a high-level tour of the SQL Editor and dashboards

By the end of this workshop, you’ll have hands-on experience navigating Databricks, working with data, and building simple visualizations — all within Databricks Free Edition.

Free

30m

Onboarding

Generative AI Engineer

Prompt Engineering Fundamentals

This course equips end users to get the most from their organization’s AI-powered assistants. Learners begin by understanding how the assistant works, its capabilities and limitations, and how to to create precise, business-relevant prompts by applying the COIE framework—Context, Outcome, Instruction, Example. They then progress to prompting techniques such as zero-shot, few-shot, chain-of-thought, self-ask, and meta-prompting to handle diverse content, reasoning, and workflow tasks. By the end, participants can structure complex requests, chain prompts effectively, and collaborate with their AI assistant as a reliable, reasoning partner that delivers accurate, actionable insights.

Free

Introductory

Data Engineer

Data Interoperability with Unity Catalog

This course explores how to achieve seamless data interoperability between systems using Databricks Unity Catalog as a unified governance layer, using both Delta and Iceberg open table formats. Participants will learn to implement, manage and optimize a data environment where tables can be accessed by both Delta and Iceberg clients, enabling cross platform analytics and eliminating data silos.

Free

Associate