Introduction to Databricks in 1 Hour

Master Databricks from Scratch: Architecture, Core Components, SQL, Python, Delta Lake, and hands-on Machine Learning

What you’ll learn
Understand what Databricks is and how organizations use it
Explain core components such as workspaces, clusters, notebooks, jobs, and repos
Describe Databricks architecture, Delta Lake, Medallion architecture, and the Lakehouse concept
Navigate the Databricks workspace and use the free Databricks Community Edition
Run Python scripts inside Databricks and configure compute resources
Load, clean, transform, and visualize data using Databricks tools
Build dashboards and create SQL tables with Python
Convert DataFrames between SQL and PySpark
Apply basic data science concepts in Databricks

Requirements
Basic understanding of Python or SQL (recommended but not required)
A computer with internet access
A willingness to learn new tools and work through hands-on exercises

Description
Welcome to Introduction to Databricks, your practical, beginner-friendly guide to one of the most in-demand data platforms in the industry today.My name is Dimitar Shtev, and I’ve spent nearly a decade working with data across analytics, engineering, and machine learning. In this course, I will walk you step-by-step through everything you need to confidently start using Databricks—even if you’ve never worked with it before.We begin by exploring what Databricks is, why organizations rely on it, and how its major components fit together. You’ll learn about the Data Lakehouse, Delta Lake, SQL, Databricks Runtime, and the architecture that powers scalable data processing.From there, we move into hands-on learning using Databricks’ free-for-life community edition. You will run Python scripts, configure compute resources, organize your workspace, load CSV files, and build interactive visualizations and dashboards.Finally, we put everything into practice with a real machine learning project: You will collect real Bitcoin price data, prepare it for modeling, convert SQL tables into PySpark objects, train a regression model, and display future price predictions inside Databricks.Whether you’re a data analyst, data engineer, BI professional, developer, or aspiring data scientist, Databricks is becoming an essential tool—and this course gives you the foundations AND the confidence to use it in real-world scenarios.By the end, you’ll have a functional Databricks environment, hands-on experience, and practical workflows you can apply at work the very next day.

Who this course is for
Beginners who want to learn Databricks from the ground up
Data Analysts looking to expand into cloud data engineering or ML workflows
Data Engineers who want practical Databricks foundations
Data Scientists who need a platform for scalable data processing
Students and career changers entering the data field

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