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Apache Spark Programming in Scala for Beginners (2026) (Udemy.com)

Master Apache Spark Programming in Scala - Recreated for 2026

Created by: Prashant Kumar Pandey

Last updated February 2026

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What you will learn

  • Apache Spark Programming in Scala
  • Spark Programing using Remote Cluster - Spark Connect
  • Working with Data Frames Transformations and Actions
  • Handling Schema and working with different data types
  • Working with Complex Data Types, Aggregation, Joins and UDF
  • Unit Testing and Data Engineering Techniques

How it compares

Against the other 150 rated Udemy courses in Hadoop on CourseDuck:

  • Rating4.4 out of 5higher than 54% of them
  • Reviews3,470#19 of 151 by number of reviews
  • Length17.5 hourslonger than 87% of them
  • Last updatedFebruary 2026more recently than 84% of them

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Course Description

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.


About the Course

I am creating Apache Spark Programming in Scala 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 be taking a live coding approach and explaining all the needed concepts along the way.

Who should take this Course?

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.

Spark Version used in the Course

This Course is using Apache Spark 4.x. I have tested all the source code and examples used in this Course on Apache Spark 4.0.1 and the Spark Connect environment.

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Instructor Details

Prashant Kumar Pandey

Prashant Kumar Pandey has spent over 25 years in IT as a developer, architect, consultant, trainer, and mentor, working with international software services organisations on data-centric, Big Data, and AI projects. That production experience — not just theory — is what shapes how he teaches Databricks, Spark, and cloud data engineering today.

He is the founder, lead author, and chief editor of ScholarNest, a skill-development platform offering courses, training, and technical articles since 2018. He also publishes free training content on his YouTube channel, Learning Journal, and writes for a following of 43,000+ data engineering professionals on LinkedIn.

Prashant is a firm believer in lifelong, continuous learning. Alongside his course work, he authors technical books and articles to help IT professionals and students close the gap between the skills they have and the skills the industry actually needs — the same gap this course is built to close.

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Reviews

4.4

3,470 ratings on Udemy

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By Vasa Yaswanth Kumar on 1/29/2026

If we get any error there is no one to resolve and the lecturer also not responding to our queries

By Akbar Anderson on 7/17/2024

Clear and to the point. I feel like I understand Spark, and how to program it in Scala. Examples and diagrams illustrated concepts very well. Never went too deep, but also never just skimmed the top. After every single video, I was more and more capable of programming Spark. This course gave me a better understanding of how Spark may be used at my job (I'm not a programmer there, so I don't see the actual code).

By Penelope Lizardo De Calderón on 2/16/2023

It's a great course. It was easier for me because of my background as a .net developer. But, I think that It's not so good for people without any programming skills or sql skills. Because when you are familiarized with programming you are able to search and solve problems.

By Anonymized User on 5/23/2021

Trainer has in-depth knowledge on the topic, he not only discuss what are the concepts available in spark, he explain, why it is there and how it work internally. All the videos are designed with proper and precise content with examples. Programming is not efficient till we understand how the framework and internal system work, that's what this course cover. Excellent job.

By Anonymized User on 10/25/2020

I am a beginner, but after going through the Prashant's course, I feel I am ready to start coding. He has explained everything in details. Most of the other courses would start with coding without explaining the theory behind it, Prashant has covered both really well.

By Santosh Sardesai on 10/14/2020

This is great course - I have enjoyed it. It seems little bit fast - especially for the beginner as spark/Scala beginner would like to have more explanation on basic things. At the same time - this course is packed with all the fundamentals required to know how spark works and provides all the required insights. Great - isn't it?. Keep Learning & keep growing. I would highly recommend all the courses from the learning journal website.

By Shubham Jain on 8/13/2020

- Content is good. - Can have specific lecture on solving hands on practise problems (multiple examples/use cases) at end of every two or three module.

By Madhava kondapalli on 8/1/2020

For sure one of the top course on Spark developer in Udemy. It covers almost all basic modules in spark. The best part is all topics are explained to real world level with all the experience of the trainer. Thank you so much Learning journal and team for the course. Amazing experience.

By Hemanth Janyavula on 7/24/2020

very well explained!Thank you very much for your content. But I was asked in an interview about cache() , Persist() , Accumulator and Broadcast Variable (of course , you have covered Broadcast Joins very well). I like the scenarios you took while explanation. if possible could you please consider adding a session explaining the above methods please.

By Rahul Samant on 6/27/2020

I have been planning to start with spark for some time now and this course looks like the best path to start . Touching all topics from implementation to Performance . Prashant way of teaching is amazing the way he describes the topic and shows the possible pitfall or issues you might encounter during implementation

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Overall Score : 88 / 100