Data Analyst in Databricks

Updated 08/2025

Master Databricks, SQL, data visualization, and management in the Lakehouse Platform for the Databricks Data Analyst Associate certification.

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Track Description

Data Analyst in Databricks

Prepare for the Databricks Data Analyst Associate Certification

Build the skills to pass the Databricks Certified Data Analyst Associate exam and excel in the Lakehouse environment. This hands-on learning path is tailored to the official certification guide, helping you develop job-ready skills in SQL, data management, and dashboarding using Databricks SQL.

Hands-On Learning for the Lakehouse

Throughout this track, you’ll explore real-world workflows and gain practical experience with:

Querying and filtering data using SQL
Joining, aggregating, and transforming datasets
Managing data using Delta Lake and Data Explorer
Creating visualizations and dashboards in Databricks SQL
Sharing results and configuring scheduled reports
Enhancing data for last-mile analytics

Designed for Beginners, Ready for Professionals

No prior Databricks experience is required. Whether you're starting your journey into analytics or want to prove your expertise in modern BI tools, this track guides you from the basics of SQL to advanced dashboarding and performance tuning. With step-by-step lessons and interactive practice, you’ll build confidence and fluency in key Databricks workflows.

Aligned to the Databricks Certification

Each course in this track maps directly to the domains covered in the Data Analyst Associate exam, including:

Building dashboards and using parameters and alerts
Writing SQL in the Lakehouse environment
Managing and securing tables with Delta Lake
Understanding medallion architecture and working with batch and streaming data
Applying data storytelling techniques

By the end of the track, you’ll be confident in your ability to tackle the exam and apply your skills on the job.

Prerequisites

There are no prerequisites for this track

Course
1
Understanding Data Engineering
Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
Course
2
Introduction to Databricks
Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
Course
3
Introduction to SQL
Learn how to create and query relational databases using SQL in just two hours.
Course
4
Intermediate SQL
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Course
5
Joining Data in SQL
Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
Course
6
Data Manipulation in SQL
Master the complex SQL queries necessary to answer a wide variety of data science questions and prepare robust data sets for analysis in PostgreSQL.
Course
7
Introduction to Databricks SQL
Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
Course
8
Data Management in Databricks
Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
Course
9
Data Visualization in Databricks
Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.