This beginner-friendly course introduces you to the core components of Databricks, including the Workspace, Databricks SQL, Delta Lake, and the Lakehouse architecture. Designed for learners with no prior experience, the course uses the free edition of Databricks to guide you through hands-on exercises using CSV files, Python, and SQL. You'll learn how to load and transform data in notebooks, explore how Delta Lake improves reliability and performance, and understand the role of Databricks in modern data workflows. The course emphasizes practical skills over theory, helping you gain confidence in working with real datasets inside the Databricks environment. Whether you're a data analyst, engineer, or just curious about cloud-based data tools, this course offers a clear, step-by-step path to understanding and using Databricks effectively—no complex setup or paid tools required.

Course Description

Get started with Databricks through this hands-on, beginner-friendly course designed to help you understand and use the platform’s core components with confidence. Using the Free Edition of Databricks, you'll work entirely within your browser—no paid cloud accounts or complex setup required.

The course walks you through practical examples using CSV files, Python, and SQL to perform real-world data tasks like loading, cleaning, analyzing, and visualizing data. You’ll learn to work inside notebooks, use libraries such as pandas, and explore key concepts like Delta Lake and the Lakehouse architecture.

A highlight of the course is a mini-project on cryptocurrency, where you'll use historical Bitcoin data to perform regression analysis, identifying trends and patterns through simple machine learning techniques.