Prepare for the Databricks Certified Data Analyst Associate exam while learning how to work with Databricks in real analytics scenarios. The course also includes a full-length practice test designed to mimic the style and difficulty of the real certification exam.
This course is designed for complete beginners as well as practicing data analysts who want to master Databricks SQL and understand the modern Lakehouse architecture. You will learn everything step-by-step through hands-on exercises inside Databricks, covering topics such as data ingestion, SQL analytics, dashboards, governance with Unity Catalog, and query optimization.
The course also covers newer capabilities such as AI-assisted SQL development and AI/BI dashboards, helping you understand how modern analytics workflows are evolving. Throughout the course, you will work with practical examples that simulate how data analysts interact with data in real organizations. Instead of focusing only on theory, each concept is demonstrated directly inside the Databricks environment so that you can build confidence using the platform.
You will also explore how to design datasets for analytics, build dashboards that deliver insights, and apply governance and security practices using Unity Catalog. Additionally, you will learn how to analyze query performance and apply optimization techniques such as caching and liquid clustering.
By the end of the course, you will be able to confidently:
- Work with Delta tables
- Analyze data using Databricks SQL
- Build interactive dashboards
- Manage data governance with Unity Catalog
- Design data models for analytics
- Optimize query performance using Photon, caching, and liquid clustering
This course is aligned with the concepts required for the Databricks Certified Data Analyst Associate certification exam.
