PySpark turbocharges Spark to make RDD analysis a lot easier.
That said, the PySpark API can be hard to master, especially if you haven’t learned about Apache Spark and have no Python programming experience under your belt.
That’s because most PySpark tutorials involve managing Hadoop clusters, and other auxiliary big data skills, which you may not be familiar with as an absolute beginner.
With the best PySpark courses online, it’s easy to go from a beginner to an advanced PySpark expert without having to pair your learning with other classes.
You’ll learn Spark while also picking up key Hadoop concepts by the side. Since you’ll be interacting with Hadoop while using PySpark, this spares you any unnecessary effort of having to learn everything from scratch.
In this guide, I’ll take you through the best PySpark courses & certifications online in 2021 to make you a big data expert.
Let’s dive right in.
Are you already proficient in Apache Spark?
If not, the Spark and Python for Big Data with PySpark training on Udemy by Jose Portilla is an excellent starting point. It’ll teach you the basics of Spark streaming and how to set it up with PySpark, making it one of the best PySpark courses for beginners.
If you have excellent familiarity with Spark, then the Data Analysis Using Pyspark course on Coursera by Coursera Project Network. It is the stand-out member in this review of the best PyCourses and certifications online, especially if you’re an intermediate Spark expert looking to learn how to work better with massive datasets.
If you’d like to learn Python programming so you can understand PySpark better, I recommend you check out my comprehensive review of the best Python courses, which will give you the expertise to comfortably take an advanced PySpark class.