Covering core transformations, joins and scalable data pipelines. The hands‑on approach is welcome, though some sections feel a bit rushed and assume prior Python comfort. Good value for brushing up on big‑data basics with Spark.

Great course! I learned to handle massive datasets with ease. The hands-on approach made me confident in building end-to-end PySpark data pipelines.

The course’s focus on data cleaning, transformation, and performance optimization was considered both comprehensive and industry-relevant.

Hands-on guidance simplifies complex PySpark workflows, boosting confidence in professional data engineering tasks

Valuable resource, explains PySpark functions clearly with effective Python integration for processing tasks.

Very professional delivery with high-quality explanations. PySpark now feels simple thanks to this course!

Fantastic course! Easy-to-follow lessons and solid hands-on exercises for mastering PySpark.

I finally understand how to optimize and process big datasets with PySpark.

Learned a lot about Spark optimization and Python integration efficiently.

Using Python alongside Spark makes the learning experience more approachable, especially for those coming from a Python background.