It is sometimes pretty boring when the instructor is merely reading out from the slides. Instructions for assignment 2 joining of data sets using map reduce were not structured properly which made it a bit confusing.

When I took this the lab information was pretty old -- old enough that it took a lot of effort to get the virtual machine ready for the class. And there was no one availble to help except the other students.

Not a bad course. It could have used a bit more polish and the verbiage of some of the exercises lacked clarity. But, considering the course is available for free, I appreciate it being available!

There are a lot of unclear explanations. Slides are not good enough. The speakers' talking is not confident and concise. There are many questions in quizes which are not covered in lectures.

The course was good, however it could use some more challenging programming assignments. I've also found the last lector (Andrea Zonca) not terribly good at that role.

Courses are boring. I found free sites and other online courses more interesting. Presenters should improve the pace of the course and keep the professionals engaged.

Week 1 was well structure and well paced class for busy working professional. Week2 instructor was reading off slides and concepts were not well explained.

The course covers Apache Hadoop, MapReduce, and Spark architecture, which is good. But either lecture or exercise content is not sufficient for practicing.

Good, except for the last week (Spark Lecture). Please explain more about concept and reduce those "um" phase as it make the lecture much harder to follow.

Content is confusing, Clear direction not provided to complete Assignment.

Instructions were not clear to do assignments. Kindly improvise on it.

Thanks,

This course was a bit disappointing, particulalry week 5. It required quite a lot of homework as the course content was not sufficient at all.

Too much duplicated content, and only superficial introduction. It seems this 'Big Data' specialization courses were not well developed yet.

Sometimes the lectures are superficial and sometimes it seemed that the instructor was just reading a text, not teaching a class.

The instructor is not that good!, and most of the material are repeated from the previous videos and the first course also.

In my opinion, some of the content was not well explained. In all fairness, the assignments weren't harder than the videos.

Rather difficult for beginning. Plenty of time I spent to analyse the code. It took me to long to finish this course.

The accent and the pronunciation of the teacher gets a little complicated to understand, subtitles contained errors.

hard to understand due to accent and these lessons are not good enough to understand how map/reduce and spark work.

Suggested programming tools are extremely unfriendly for people with little or no experience in *nix programming.

All of the courses in the Specialization are well created and Organized in terms of schedule! Appreciate it!

The last week was super awesome (Spark), while others were too easy and were just copypaste from Hadoop docs

Need to improve in assignments and end required practical representation with real scenario and examples.

Lot the material that is covered in the class in not provided offline, like Ppt and commands to execute

I think that the lack of TAs complicated the course unnecessarily. Otherwise it was relatively easy.

In less than one year they marked the curriculum as an old version and replaced it with a new one.