Fairly superficial treatment of a wide variety of topics. There was only a loose connection between some of the hands-on exercises and the lectures. The final assignment questions were not clear and the marking scheme was vague, which led to quite a bit of confusion while answering and grading it.

This is ok. There is some light theory and application of it, but even less hands-on. There is also too much of an emphasis on different big data systems and each brands specific uses. This is good information, but I think it could have been presented on a two page comparison chart. The next course is supposed to be more more hands-on, so I am looking forward to that

The level of the exercises and quizzes don't reflect the content of the course.

I really wish I could give this course more stars, the content is great and well delivered and at a perfect level for someone like me who last worked with big data sets when 20Mb was absolutely enormous and Windows 3.1 was cutting edge technology. But and this seems to run across the whole specialisation, support from the course team varies between very patchy and none at all. Technical questions aren't answered for days if at all.

1. The course is very general and high level introduction.

2. During the lectures there are some examples that in some cases are presented as very small images and briefly. I personally could not understand some examples presented in week 5.

3. I found the hands-on lectures very helpful. I wish there was more that would delve into more examples in more details.

4. The course was very overpriced given the amount of information offered compared to other courses I have taken at coursera.

Thanks.

Definitely could have used more hands on practices. The hands on practice examples could've delved deeper into 'how' instead of just giving you the command lines to run. Majority of the times were spent on lectures talking about abstract concepts. While useful, more of that time would've been better spend on hands-on examples.

3.5+ star course. I hope by studying the following courses, contents of this course prove to be more practical.

Reasonably good, but less structured and organized that the first course.

I hope the next one will be better on this aspect.

This was my second course of six. It was so theoretical but at the final exam it required so much exercises. I propose enrich the course with exercises and hands on

The course has a lot of information that is completely useful for BD, I feel that it needs more hand-on exercises. For example, all those BDMS they listed are very useful, but it would have been more practical and fun to teach with an exercise, rather than 50+ slides.

Very interesting but I struggled with some of the content: the level jumps suddenly, and the course lacks some clear examples of application.

Week 6 Peer graded assignment instruction should be more detailed.

The course is great. The final peer-reviewed project is interesting, but very badly designed. The explanations are fairly confusing, and the peer-reviewed format really doesn't fit this assignement, as modeling can be performed in many different ways, that untrained peers might not recognize.

Capstone assignment was disappointing.

Good information overall, but the "peer graded" assignment at the end is poorly designed and seems unnecessarily arbitrary. Not a clear value add over a "final exam" format to justify waiting days for someone to "grade" your work. Instructions for this assignment are poorly written and unclear - for example, completely NOT clear you are asking us to identify a primary key versus stating there is no primary key, etc.

I feel the assignments were a little vague and such assignments should be reviewed by mentors and not just fellow colleagues. Also, the concept on which the questions were based, were not covered that widely.

Additionally, if someone wants to refer to the slides in future they should be able to get the information they want from the slides itself, so they could be made more descriptive.

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great course

Hands on practice needs to do a better job

I felt there was very little continuity between each of the 6 weeks of this course. Especially in week 1, where I noticed a significant jump in the level of the content and I found the lectures quite vague and ambiguous. But overall I am satisfied. Looking forward to course 3.

Final assignemet is too hard.

Expecting more hands on experience with big data frameworks like Hadoop or Spark. Instructions of the final assignment is very confusing, you don't actually know what it really want you to do until you go through all the Q&As in the discussion forum, which is really wasting time.

There has been very few on-hands training. It's still very very at an introductory level. At some points it goes very deep, for example with the vectors for a document, but with the rest stay at a very high level. Open an excel sheet can not be considered training ...

Although Content quality was good, the content is too much less and could have been easily integrated to first course or other course in specialisation.

Secondly Quiz were not challenging ,it was just too easy to pass, and this actually takes away the very reason they were employed in this course.

The course is not very detailed and misses to explain key concepts. Terminology is used extensively without much explanation.

More practical exercises should be recommended.