Although, the course looked very promising, I was quite disappointed with the content. The Map-reduce lectures were sub-par the Coursera standards. Spark lectures were incoherent. It took me a couple of hours to decode the problem assignment statement.

I feel that the course is teaching you just content, it does not provide enough explanations or reasons why it is set up that way. I feel it is a bit superficial and a bit too wide, I would prefer a narrower and more detailed course.

I won't be able to complete week 5. I can't understant the syntax of Spark so i could not complete the "simple join" assignment. I was stuck on the first instruction and i couldn't find any help on the video, slides or discussions.

Mr Tatineni has a very poor diction and the course was boring with no clear and concrete examples. It was a tough time to complete this course but I was motivated and hoped it would be better after Tatineni's course (it is).

This is a mixed bag. I had a lot of problems following Dr. Zonca's videos. Moreover, I needed to guess some of the questions in the quizzes because the explanations given did not cover... nor even hint... the answers.

I hesitated between two and three stars as this course is the first in Big Data area. But content is so poor and delivery is way below average of 20+ courses I've completed in Coursera, so I decided to go with two.

The course structure was a bit all over the place - it wasn't clear why we were learning the tools presented to us. The modules didn't build on top of others, so the overall experience was a bit mixed up.

Don't waste your time or money on this specialization. The information and quizzes are of low quality for the money. I'm very disappointed about the quality of this MOOC coming from this university.

Started off strong, but the second assignment became too much of a side distraction into Python. For me the time investment/reward was not worth it, however it may be something worth looking at if

Poor as the last week (week-5) had so much trouble. The programming questions were not mentioned correctly. The last Spark lecuture videos were terrible as the English delivered was very poor.

Provides some good information and a high level conceptual view of the Hadoop Platform, but lacks in explanation of the practical execution. Assignments are difficult to follow.

Very shallow content in the lectures and quiz questions are disconnected from lecture material. Would not take this course again. Very important topic but poor execution.

I'm sorry but it was really hard to follow along the lecturer, to slow and hard to listen to at points.

The quizes where not to in sync with the lessons i feel.

This class failed to deliver on high promises - not enough hands-on application, too many unexplained buzz words. I'd avoid courses like it in the future.

Stuck with an assignment for a month now and cannot find a way to look for help. Did what was asked for in the assignment, but my code wouldn't execute.

Cannot hear the lecture of the HDFS part clearly, the professor's accent is heavy and speaks fast. Even the subtitle cannot recognize it.

Too few coding practices. The Indian instructor's voice is too vague. The instructor of Week 5 needs to practice his oral English :(

Very poor delivery of lesson 3. Please review the videos. There is a massive disconnect between the course material and exercises.

Poor Support Material (rigid and bad format), Assignments not easy to follow, very low support and much unanswered questions!

More excercises needed.

Also, We need the detailed step by step in excercises specially if students are not programmers.

It's a well structured course, but it doesn't provide all the programming knowledge to complete the assignments

Bad sound quality. Uneven volume settings. Some teachers have a pronunciation that is hard to understand.

Pretty simplistic treatment, practical excersises not very practical or challenging. Glad I didn't pay.

The exercises/assignments were much more complex or confusing comparing with the presentations/classes.

Lot can be improved in teaching the course in an effective way. This is from the week 1 course