the theory is very clear and well explained.

the practical assignments are a little bit ambiguous but they are overall very good and challenging.

highly recommended!

Nice introduction into Spark with details about how Spark works internally. This course also talks about when to use RDD/Dataframe/Dataset and performance pitfalls.

really good material, well explained with many examples.

maybe more information or precisions should be added to the assignments but good material and explanations

It was really useful material. It would be really nice if there are more assignments to polish the materials we learn, but I am really satisfied with the course.

Great course to get going with Apache Spark. Would recommend to someone who has java or scala experience already and wants to learn about distributed processing.

Great introduction to Spark and it's data structures. The course is easy to follow, and lecturer is entertaining and really engaged.

Thanks, I really had fun !

I worked with PySpark professionally, and this helped add some depth to my knowledge of Spark as well as give me a chance to translate those skills to Scala.

Clear explanations, with emphasis done on the important/practical stuff. From zero to a general understanding on Spark and the available tools in 4 weeks.

I really liked the course. Learnt lot many things regarding Scala and Spark. The Assignments were really helpful to get hands-on knowlegde of Spark.

Lectures were clear and engaging and directly related to the homework. The assignments were very practical and very hard. Best course of the series!

Some of the assignments are a bit challenging, due to grading system I suppose, but in the end general impression about this course is very positive

Amazing technology, explained wonderfully. Note: familiarity with scala (take Martin's course in coursera) would make your experience even better.

good stuff, compared to the other similar course in PySpark this one gave me a lot more understanding of how things work in Spark on the low level

Very useful. Dr. Miller apparently did a very good job. I strongly suggest beginners to read the "Learning Spark" book and then take this class.

Very well-organized courses about Spark ! Really learned some good practical tips. Hope there could be more explanations about the assignments.

Yet another excellent Scala class. Good lectures, good assignments. Clear and understandable, while presenting a whole bunch of new concepts.

Really clear and direct. Would love to see another course on the Advanced Spark topics such as Spark Streaming and Spark custom libraries

The professor and her team has done a tremendous job in this course. A very hearty thank you to all of you. Please keep up the good work!

A great introduction to Spark !!! An esential course to anyone interested in the field! Thank you very much Heather and the EPFL team !!

FANTASTIC!!! I don't even know which was better: the course material quality, the instructor's approach or the assignments. FANTASTIC!!!

This is a good course if you already know the Scala language and looking to improve your theoretical understanding of Spark programming.

It gave me very good understanding on Spark Architecture, functioning along with hands on over Scala. Good examples used during lessons.

First weeks were overcomplicated with k-means and stuff not related to Spark itself.

In general - GREAT JOB !!! Thx for such kind courses

Excellent explanations by Heather Miller. She really knows how to explain a topic, and also makes the lectures a lot of fun to listen !

Awesome Course . Detail and Depth of RDD vs Dataframe vs Dataset.

Latency vs Network/IO vs Shuffling.

Learnt a lot .

Thank you Heather.