Apache Spark Courses and Certifications

Apache Spark and Databricks - Stream Processing in Lakehouse

1199 ratings at Udemy

Master Stream processing using Apache Spark (PySpark) and Databricks Cloud (Azure) with an End-to-End Capstone Project

• Udemy
• 22 hours 24 minutes
• On-Demand
• Paid Course

Master Apache Spark - Hands On!

980 ratings at Udemy

Learn how to slice and dice data using the next generation big data platform - Apache Spark!

• Udemy
• 7 hours
• On-Demand
• Paid Course

Scala and Spark 2 - Getting Started

933 ratings at Udemy

Learn to develop applications using Scala and Spark with a 7-hour course. Covers environment setup, integration with IntelliJ, and building scalable applications.

• Udemy
• 6 hours 46 minutes
• On-Demand
• Free Online Course

Apache Spark for Data Engineering and Machine Learning

Learn to use Apache Spark for data engineering and machine learning with IBM's 3-week course. Gain hands-on experience in Spark Structured Streaming, ETL workloads, and Spark ML.

• edX
• 3 weeks, 2-3 hours a week
• On-Demand
• Free Online Course (Audit)

Apache Spark Streaming 3 with Scala | Rock the JVM

606 ratings at Udemy

Stream big data with Apache Spark Streaming 3 and integrate with Kafka, JDBC, Cassandra and more, hands-on, in Scala

• Udemy
• 7 hours
• On-Demand
• Paid Course

Apache Spark Hands on Specialization for Big Data Analytics

544 ratings at Udemy

In-depth course to master Apache Spark Development using Scala for Big Data (with 30+ real-world & hands-on examples)

• Udemy
• 11 hours 50 minutes
• On-Demand
• Paid Course

Apache Spark In-Depth (Spark with Scala)

470 ratings at Udemy

Master Apache Spark and Scala with this 41-hour course. Learn from scratch to in-depth, covering batch processing, streaming, tuning, optimization, and deployment. Ideal for big data processing.

• Udemy
• 1 day 16 hours 42 minutes
• On-Demand
• Paid Course

Scalable programming with Scala and Spark

445 ratings at Udemy

Learn to use Scala and Spark for data analysis and machine learning with this 9-hour course taught by ex-Googlers and ex-Flipkart Lead Analysts. Explore datasets, implement complex algorithms, and more.

• Udemy
• 9 hours
• On-Demand
• Paid Course

Apache Spark 3 - Real-time Stream Processing using Scala

357 ratings at Udemy

Learn real-time stream processing with Apache Spark 3 using Scala. Ideal for software engineers, data architects, and managers. Course workload is 4-5 hours.

• Udemy
• 4-5 hours
• On-Demand
• Paid Course

Olympic Games Analytics Project in Apache Spark for beginner

95 ratings at Udemy

Olympic Games Analytics Project in Apache Spark for beginner using Databricks (Unofficial)

• Udemy
• 1 hour 9 minutes
• On-Demand
• Paid Course

Real Time Spark Project for Beginners: Hadoop, Spark, Docker

91 ratings at Udemy

Building Real Time Data Pipeline Using Apache Kafka, Apache Spark, Hadoop, PostgreSQL, Django and Flexmonster on Docker

• Udemy
• 6 hours 34 minutes
• On-Demand
• Paid Course

Telecom Customer Churn Prediction in Apache Spark (ML)

74 ratings at Udemy

Learn Apache Spark machine learning by creating a Telecom customer churn prediction project using Databricks Notebook

• Udemy
• 1 hour 48 minutes
• On-Demand
• Paid Course

Spark Machine Learning Project (House Sale Price Prediction)

72 ratings at Udemy

Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)

• Udemy
• 1 hour 25 minutes
• On-Demand
• Paid Course

Machine Learning with Apache Spark

61 ratings at Coursera

Dive into machine learning with this 4-week IBM course. Learn ML fundamentals, use Apache Spark for data engineering, and gain hands-on experience with SparkML. Suitable for data engineers and analysts.

• Coursera
• 15 hours 29 minutes
• On-Demand
• Free Online Course (Audit)

Apache Spark Project for Beginners: A Complete Project Guide

59 ratings at Udemy

Learn to develop a real-time message processing application using Apache Spark, Scala, Apache Kafka, Python, MongoDB, and MySQL in this 2-3 hour online course.

• Udemy
• 2-3 hours
• On-Demand
• Paid Course