I’ve taken many courses before, but this one stands out for its practical approach to PySpark. Real examples made all the difference. Highly recommended for professionals.

The instructor provides great insights into distributed computing and real-life data workflows. Ideal for anyone looking to level up in data engineering.

If you want to master PySpark data processing from scratch, this course is your best bet! Clear concepts and hands-on coding make it valuable.

I was impressed by how interactive and engaging this course is. The instructor makes learning PySpark genuinely enjoyable.

Insightful but somewhat basic; lacks depth and advanced techniques for seasoned PySpark and Python professionals.

Practical and clear guide with hands-on examples, great for learning PySpark and Python data processing.

It was a great class, really engaging.

The course covers all essential topics

What an excellent instructor

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.

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.

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