The course is nice for people without any background. With some background in physics/math/computer science it moves very slowly and doesn't provide much technical details. I wouldn't call it a specialization though.

In my opinion it is a little difficult for somebody who is not related to this world to make the exercises of the practice area. More information on the websites about downloading the programs must be implemented .

Very Basic course. Don't expect in depth expectations. Inadequate hands on exercises in the course. You will get 10,000 ft view of Big Data after completing this course. Don't expect much from this course.

An introductory course that seems like it should have been the first week of a more in-depth course instead of being a stand-alone course. The cost vs benefit of this particular course is questionable.

The content is good, but the VM is bad, slow, and old version of everything. I have downloaded a Docker Container to continue with the program. They should update the VM or provide a Docker link.

I'm not sure who the target audience is for this course. The level of presentation seems rudimentary to me. I had a hard time sustaining interest in the course and did not finish.

Content and questions were good in this course but I feel like there was no need to show instructors in the video, only voice playing in the background would have been much better.

The lectures in the first two weeks are not practical at all. The only practical content in this course is the MapReduce and Hadoop part, which can be finished in one or two days.

The time / usefulness rate of this course is very low. Most of the stuff they teach (at least in introduction) is very basic theory that's presented in not really interesting way.

The course is a lot about talking and theory which is not very interesting. Final part of course is trying to work with hadoop using virtualbox and provided virtual image.

De momento he aprendido conceptos nuevos e interesantes, pero todavía no entiendo las herramientas utilizadas. Hadoop me parece muy confuso y dificil de utilizar

An amazing course to get a brief understading about Big Data, the course needs an improvement in the slides, and additional resources for better understading.

Very informative but the structure is a lecture where the concepts are basically read from a paragraph. Perhaps I'd give more stars if I only saw diagrams.

Was expecting more hands on stuffs, the class is too conceptual. The sound volume of the videos is not consistent, hope Coursera can improve a bit on this.

Interesting concepts and basics about Big Data. However, it could include more practical exercises or quiz to continuously learn and evaluate the student.

A little bit too conceptual and very basic. Hadoop hands on and HDFS should be much more intensive. However, good material, well presented and explained.

The Content of the Course is Very Good.But the examples are very Outdated. And the English Slang they Spoke is Difficult for an Indian to Understand.

It was a good Course.. we should have some kind of a helpline or a chat bot which will help in the installation process of virtual box or Hadoop etc.

Too much theoretical descriptions video lectures . very less programming approach and videos. It should contains more programming practices videos.

I thought the material was really relevant and timely, however, it would have been nice to have some more assignments to help internalize it.

Very basic stuff. It's nice to have a very easy, very general introduction to the thematic, maybe it's not worth so many lessons though.

We get a superficial introduction to tools used in the big data field, but all in all, the course feels a bit like a catalogue.

It was very good until the last part of the course, when you have to install de VM and run hadoop. I found it very unclear.

There should be some reading material to assist learning. The course was too expensive for the small content it provided

I'd recommend this course be taken as audit. Doesn't add specific value to your skill set! But, it's good to know :-)