Apache Spark is a core data skill – here is how to show you got it!

Learn Apache Spark from the ground up and show off your knowledge with the Databricks Associate Developer for Apache Spark certification. This course will transform you into a PySpark professional and get you ready to pass the popular Databricks Spark certification.

Join me for an easy to understand and engaging look into Spark and take your big data career to the next level!

What will you learn?

The goal of this course is to teach you fundamental PySpark skills and prepare you to get certified with the Databricks Certified Associate Developer for Apache Spark certification.

The course includes 18 modules to help you understand how Apache Spark works internally and how to use it in practice. You can find all topics covered below, but here is an overview

Become a seasoned expert at coding with Spark DataFrames

Get confident with the Databricks certification exam content

Discover Spark's distributed, fault-tolerant data processing

Master how to work with Spark in Databricks

Understand the Spark cluster architecture

Learn when and how Spark evaluates code

Grasp Spark's efficient memory management mechanisms

Analyze typical Spark problems like out-of-memory errors

See how Spark executes complex operations like joins

Become proficient in navigating through the Spark UI

...and many more topics – check out the full list below!