Apache Spark Courses

Free Online Course: Data Engineering and Machine Learning using Spark provided by Coursera is a comprehensive online course, which lasts for 3 weeks long, 7-8 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from Coursera. Data Engineering and Machine Learning using Spark is taught by Karthik Muthuraman and Romeo Kienzler.

Learn Advance Spark: Beginner to Expert (Scala) provided by Udemy is a comprehensive online course, which lasts for 4-5 hours worth of material. Learn Advance Spark: Beginner to Expert (Scala) is taught by Navdeep Kaur. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Free Online Course: Stream Processing Design Patterns with Spark provided by LinkedIn Learning is a comprehensive online course, which lasts for 1-2 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. Stream Processing Design Patterns with Spark is taught by Kumaran Ponnambalam.

PySpark for Data Science - Beginners provided by Udemy is a comprehensive online course, which lasts for 2-3 hours worth of material. PySpark for Data Science - Beginners is taught by Exam Turf. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Apache Spark In-Depth (Spark with Scala) provided by Udemy is a comprehensive online course, which lasts for 41 hours worth of material. Apache Spark In-Depth (Spark with Scala) is taught by Harish Masand. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Spark SQL & Hadoop (For Data Scientists & Big Data Analysts) provided by Udemy is a comprehensive online course, which lasts for 6 hours worth of material. Spark SQL & Hadoop (For Data Scientists & Big Data Analysts) is taught by Matthew Barr. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

PySpark for Data Science - Intermediate provided by Udemy is a comprehensive online course, which lasts for 2-3 hours worth of material. PySpark for Data Science - Intermediate is taught by Exam Turf. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Free Online Course: Introduction to Spark with sparklyr in R provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Introduction to Spark with sparklyr in R is taught by Richie Cotton.

Data Engineering Essentials using SQL, Python, and PySpark provided by Udemy is a comprehensive online course, which lasts for 66 hours worth of material. Data Engineering Essentials using SQL, Python, and PySpark is taught by Durga Viswanatha Raju Gadiraju. Upon completion of the course, you can receive an e-certificate from Udemy. The course is taught in Englishand is Paid Course. Visit the course page at Udemy for detailed price information.

Free Online Course: Introduction to Spark SQL in Python provided by DataCamp is a comprehensive online course, which lasts for 4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from DataCamp. Introduction to Spark SQL in Python is taught by Mark Plutowski.