Introduction to Python for Data Science and Data Engineering

This course is intended for complete beginners to Python to provide the basics of programmatically interacting with data. The course begins with a basic introduction to programming expressions, variables, and data types. It then progresses into conditional and control statements, functions, collection types, loops, error handling, and classes. You will learn to extend Python with external libraries and gain experience using the pandas library for data analysis and visualization, including scaling pandas workflows with Apache Spark. Lastly, you will explore the fundamentals of cloud computing. Throughout the course, you will gain hands-on practice through lab exercises, with additional resources to deepen your knowledge of programming after the class.

Last course update

Aug 2026

Skill Level

Introductory

Duration

Prerequisites

The content was developed for participants with these skills/knowledge/abilities:

• Basic computer literacy and familiarity with operating systems (file management, web browsers, software installation)

• Elementary understanding of mathematical concepts (arithmetic operations, basic algebra, statistics fundamentals)

• Beginner familiarity with data concepts (datasets, tables, rows, columns, data types)

• Familiarity with web browsers and online learning platforms for accessing the Databricks workspace

• Basic problem-solving skills and logical thinking for programming concepts

• No prior Python experience required; general familiarity with programming concepts in another language is helpful

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Self-Paced

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

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Upcoming Public Classes

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Note: Databricks Academy is transitioning to a notebook-based format for classroom sessions within the Databricks environment, discontinuing the use of slide decks for lectures. You can access the lecture notebooks in the Vocareum lab environment.

Free

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Get Started with Databricks Apps

This course introduces Databricks Apps, a feature that empowers developers to build and deploy secure data and AI applications directly on the Databricks platform. It is primarily designed for data scientists, data engineers, and developers who need to create custom applications that make data insights accessible to non-technical users within their organizations.

The course begins provides an overview of the main components of Databricks Apps, followed by the deployment of simple apps that integrates with an external service as well as a Databricks resource.

You can create a Databricks Free Edition account and try the follow-along demos in a hands-on environment.

Free

instructor-led

Onboarding

Platform Administrator

GCP Databricks Cloud Integrations

This course is designed to provide you with the essential details to integrate the Databricks Platform with Google Cloud Platform (GCP).The Google cloud services covered in this course are Bucket, Pub /Sub and BigQuery.

Free

Associate