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DataCamp

Data Analyst in Databricks

via DataCamp

Overview

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## 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.

Syllabus

  • Understanding Data Engineering
    • Discover how data engineers lay the groundwork that makes data science possible. No coding involved!
  • Introduction to Databricks
    • Learn about the Databricks Lakehouse platform and how it can modernize data architectures and improve data management processes.
  • Introduction to SQL
    • Learn how to create and query relational databases using SQL in just two hours.
  • 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!
  • Joining Data in SQL
    • Level up your SQL knowledge and learn to join tables together, apply relational set theory, and work with subqueries.
  • 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.
  • Introduction to Databricks SQL
    • Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.
  • Data Management in Databricks
    • Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.
  • Data Visualization in Databricks
    • Create visualizations and dynamic dashboards with Databricks, turning raw data into clear and actionable insights.

Taught by

Mona Khalil, Hadrien Lacroix, Izzy Weber, Jasmin Ludolf, Maham Khan, Kevin Barlow, Smriti Mishra, Iason Prassides, and Gang Wang

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