Get started with Azure Databricks in this beginner-friendly course by Nick Lee. Learn how to set up workspaces, run notebooks, manage clusters, and start analyzing data in a powerful, cloud-based environment.
In Introduction to Azure Databricks, instructor Nick Lee introduces you to one of the most powerful platforms for big data and advanced analytics. Built on Apache Spark and fully integrated with Azure, Databricks provides a collaborative environment for working with large-scale data, building machine learning models, and streamlining data engineering workflows. This course is designed for beginners looking to understand what Databricks is, how it works, and how to get started using it in the Azure ecosystem.
Nick walks you through the core features of Azure Databricks, from creating your first workspace to running notebooks and managing clusters. You'll learn how to import data, write code collaboratively, and begin developing data-driven solutions in the cloud. Whether you're a data analyst, engineer, or new to Azure, this course will help you gain the foundational knowledge you need to start exploring Databricks with confidence.
Course Outline ( Free Preview)
Module 00 - What You Need to Get Started13 min.
Before jumping into Azure Databricks, this module helps you get your environment ready. Nick walks you through signing in to the Azure portal, checking your access permissions, and downloading any resources you’ll need. By the end of this setup, you’ll be fully prepped to follow along with the course content and hands-on examples.
Module 01 - Introduction to Azure Databricks78 min.
This all-in-one module introduces you to the key concepts behind Azure Databricks. Nick explains what Databricks is, how it's built on Apache Spark, and why it's such a powerful tool for data engineering and analytics. You'll explore common use cases like big data processing and machine learning, and you’ll get an overview of the platform's major components—workspaces, notebooks, clusters, and jobs. This module lays the foundation for understanding how Databricks fits into the Azure ecosystem and when to use it in your own projects.
Nick Lee is a Consultant and Trainer at Pragmatic Works specializing in Microsoft Fabric, Power BI, data engineering, and modern DevOps practices for analytics solutions. Since 2018, he has helped organizations across a wide range of industries, including Fortune 200 companies, professional sports organizations, government agencies, healthcare providers, and financial services firms, modernize their data platforms and drive more informed decision-making.
Nick works closely with clients to design and implement scalable analytics architectures that support everything from data ingestion and transformation to reporting, governance, and operational excellence. His expertise spans Microsoft Fabric workloads, data engineering, Power BI, CI/CD implementation, and modern development practices that help organizations improve reliability, accelerate delivery, and maximize the value of their data investments.
In addition to his consulting work, Nick is a passionate educator who helps technical teams develop the skills and confidence needed to successfully adopt modern data technologies. Known for his practical approach and deep technical knowledge, he specializes in breaking down complex concepts into clear, actionable guidance that enables clients to move quickly from strategy to execution. Whether leading a Fabric implementation, building enterprise analytics solutions, or delivering technical training, Nick focuses on helping organizations create sustainable, scalable data ecosystems that support long-term business success.
