Udemy – PySpark – Apache Spark Programming for Beginners (2026) 2026-1

Updated August 10, 2026 10.38 GB

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Descriptions

PySpark – Apache Spark Programming for Beginners (2026), This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken sufficient care to explain the fundamental concepts of Spark, helping you come up to speed and grasp the content of this course. I am creating the PySpark – Apache Spark Programming for Beginners course to help you understand Spark programming and apply that knowledge to build data engineering solutions. This course is example-driven and follows a working session-like approach. We will take a live coding approach and explain all the necessary concepts along the way. I designed this course for software engineers willing to develop a Data Engineering pipeline and application using Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organisation’s data-centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level. This Course is using Apache Spark 4.1. I have tested all the source code and examples used in this Course on Apache Spark 4.1 in the Databricks environment.

What you’ll learn

Apache Spark Programming in Python (PySpark)
Spark Programing in Databricks Free Account
Working with Data Frames Transformations and Actions
Handling Schema and working with different data types
Working with Complex Data Types, Aggregation, Joins and UDF
Working with Data Sources and Sinks
Unit Testing and Data Engineering Techniques

Who this course is for

Software Engineers and Architects who are willing to design and develop a Bigdata Engineering Projects using Apache Spark
Programmers and developers who are aspiring to grow and learn Data Engineering using Apache Spark