Apache Spark Courses and Certifications

Coursera

Optimize Spark Performance: Analyze & Accelerate

Analyze and accelerate Apache Spark jobs by inspecting execution plans in the Spark UI, choosing partitioning keys that minimize shuffling, and caching DataFrames with appropriate storage levels.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Fix Data Bottlenecks: Optimize Spark Performance

Analyze Spark execution plans to diagnose data shuffle and skew, then resolve bottlenecks with partition tuning, broadcast joins, and configuration optimization.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Machine Learning With Big Data

14 ratings

Learn the machine learning process end to end: explore and prepare data, build classification, regression, and clustering models in KNIME, and scale them on Spark.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

Data Engineering with AWS

7 ratings

Build scalable AWS data infrastructure by modeling data, creating warehouses and lakes, and automating reliable pipelines.

• Udacity
• 39 hours
• Self-Paced
• Paid Course

Big Data Computing with Spark

10 ratings at edX

Learn the theory and gain hands-on experience of big data systems, using Spark as the exemplary platform.

• edX
• 8 weeks, 6-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Databricks Certified Associate Developer - Apache Spark

1968 ratings at Udemy

A Step by Step Hands-on Guide to prepare for Databricks Certified Associate Developer for Apache Spark using Pyspark

• Udemy
• 14 hours 27 minutes
• Self-Paced
• Paid Course

Databricks Certified Associate Spark Developer Certification

54 ratings at Udemy

2026 | 2 practice tests included. Hands-on PySpark, DataFrames & Structured Streaming for the Databricks Certification

• Udemy
• 7 hours
• Self-Paced
• Paid Course

EDUCBA

Apache Spark: Design & Execute ETL Pipelines Hands-On

26 ratings at Coursera

Build end-to-end ETL pipelines in Apache Spark: configure PySpark, Hadoop and MySQL, transform data with Spark SQL, and run full and incremental loads over JDBC.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Spark Fundamentals II

Go deeper into Spark RDDs: manage partitions, identify shuffling operations, tune caching and storage levels, and build Spark projects with sbt, Eclipse, or IntelliJ.

• Cognitive Class
• 5 hours
• Self-Paced
• Free Online Course

Spark Overview for Scala Analytics

Learn Apache Spark from its origins to building applications, using the core RDD and DataFrame APIs for analytics, plus advanced Spark topics and an introduction to MLlib.

• Cognitive Class
• 8 hours
• Self-Paced
• Free Online Course

Spark Fundamentals I

Learn Spark fundamentals: work with RDDs and DataFrames, program applications with SparkContext in Scala and Python, use Spark libraries, and configure, monitor and tune clusters.

• Cognitive Class
• 5 hours
• Self-Paced
• Free Online Course

Exploring Spark's GraphX

Big Data is NoHadoop and NoSQL: examine what Big Data is and how a platform handles variety, velocity, and volume through integrated components and data governance.

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

Data Science with Scala

Use Scala with Apache Spark to tackle big data analytics: build Spark machine learning pipelines, fit models, and search for optimal hyperparameters on a cluster.

• Cognitive Class
• 6 hours
• Self-Paced
• Free Online Course

Bryan Cafferky

Understanding Spark SQL - Lesson 6

Learn how Spark SQL supports optimized queries, schema-on-read, and parallel applications across Python, R, and Scala.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Taming Big Data with Apache Spark 4 and Python - Hands On!

18255 ratings at Udemy

PySpark tutorial with 40+ hands-on examples of analyzing large data sets on your desktop or on Hadoop with Python!

• Udemy
• 8 hours 49 minutes
• Self-Paced
• Paid Course