PySpark Data Engineering: The Complete Real-World Workflow (Udemy.com)

Yes. It's good! Especially for the Professionals who are already in DE Field.

It's a great course if you are trying to get into Data Engineering roles surely need to check out his video to have real time data processing knowledge.

The course is pretty good, and I am learning a lot. But it is completely based on windows environment, and there is no proper guidance on how to fix some errors on Mac in the course. So, if you add a solution where it can go wrong in mac environment, it will be better.

"This is one of the best PySpark courses I’ve taken. The concepts are explained clearly, and every topic is connected to real industry use cases. The hands-on labs, ETL project make the course very job-focused. Great course for both beginners and working professionals."

Although the content was valuable, the lecture delivery could be improved with better preparation and reduced use of filler words to create a more engaging and confident teaching style.

This course has been very helpful and introduced me to many new concepts in Data Engineering. I really appreciated the clear explanations and the hands-on approach, especially with Docker, PySpark, and Airflow. The practical exercises made it easy to follow the workflow end-to-end. One suggestion I have is that some parts only showed how to run certain commands without fully explaining the syntax or the reasoning behind them. As a beginner, I sometimes followed the steps without fully understanding why they worked, and had to look things up on my own. I understand the time limitations of a Bootcamp-style course, but a bit more explanation in key areas would help learners understand the concepts more deeply. Overall, it’s a strong and valuable course, and I learned a lot from it.

Thanks for this wonderful course. Course is designed as a quickstart guide into the world of Spark. Appreciate the efforts Chandra has taken to give real experience of deploying the pipelines in DEV and PROD environments and the best practices followed in the industry.

Overall a good course. More scenarios of pyspark in jupiter notebook would have been better. Good course for a project level.

I needed a course to teach me how to connect all of these components and then how to use them. This course gave me that. Chandra is also very responsive to questions.

Really happy with this course. Most PySpark courses just stop at basics, but this one goes a step further with real production pipelines. Setting up with Shell+Cron and Airflow was very practical — gave me a clear idea of how things actually work in a real project."