The contents are well explained and the material is of good quality. The exercises are of correct level of complexity, in order to learn what is viewed in the theory lectures.

It surely opens your mind, even on unrelated topics, I found myself able to apply some of the distributed computing logics even to imperative sequential programming. Good job.

Excellent material. Very good flow. Heather has an amazing way of walking through the flow and simplifying the concepts. Great assignments -- takes a bit longer than 3 hours.

Great course. Very informative. I have learned a lot. Lessons are very well prepared and structured. Implementation tasks are interesting. Thanks to all EPFL team. Great job!

Well explained with many details, both: theory and practice really well prepared. I highly recommend to take this course if you're interested in Spark and big data analysis.

Great course with nice explanations of some Spark concepts. The third week was particularly useful for my understanding of Spark shuffling and partitioning. Thanks a lot!

Great course about Big Data analysis

It was my first exposure to Big Data frameworks and I learned a lot about the problems trying to be solved and the power of Spark.

I like this course because It isn't about analysis (as Yandex course here), it's about real work with Apache Spark for analysis. One of the best courses on Coursera!

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