GM
Jan 31, 2016
I'm forced to give 5 stars. I don't want to have a certification on a poor quality course (another coursera mistake). This material needs tremendous amount of work to get finished and revised.
DA
May 15, 2020
Learned about Hadoop Ecosystem, limitations of map-reduce approach and Spark as a solution to overcome some of limitations.Thanks for giving me the opportunity to participate in this MOOC.
By Marcin O
•Sep 11, 2016
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.
By Harshavardhan A
•Aug 29, 2019
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.
By Xiaojie Z
•Oct 29, 2015
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.
By Yunfang
•Sep 8, 2018
The course covers Apache Hadoop, MapReduce, and Spark architecture, which is good. But either lecture or exercise content is not sufficient for practicing.
By Supharerk T
•May 7, 2016
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.
By Kiran A D
•Dec 3, 2015
Content is confusing, Clear direction not provided to complete Assignment.
Instructions were not clear to do assignments. Kindly improvise on it.
Thanks,
By baldassariol
•Jan 29, 2017
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.
By Vincent W W
•Mar 22, 2016
Too much duplicated content, and only superficial introduction. It seems this 'Big Data' specialization courses were not well developed yet.
By Alexandre F
•Nov 25, 2015
Sometimes the lectures are superficial and sometimes it seemed that the instructor was just reading a text, not teaching a class.
By Mohamed A K
•May 22, 2016
The instructor is not that good!, and most of the material are repeated from the previous videos and the first course also.
By Guilherme C
•Jan 13, 2016
In my opinion, some of the content was not well explained. In all fairness, the assignments weren't harder than the videos.
By Tomasz S
•Jun 25, 2017
Rather difficult for beginning. Plenty of time I spent to analyse the code. It took me to long to finish this course.
By Fabio S
•Dec 5, 2015
The accent and the pronunciation of the teacher gets a little complicated to understand, subtitles contained errors.
By Rafael G
•Dec 16, 2015
hard to understand due to accent and these lessons are not good enough to understand how map/reduce and spark work.
By Boris C
•Jan 3, 2016
Suggested programming tools are extremely unfriendly for people with little or no experience in *nix programming.
By ISH G
•Feb 13, 2016
All of the courses in the Specialization are well created and Organized in terms of schedule! Appreciate it!
By Dmytro K
•Jan 5, 2016
The last week was super awesome (Spark), while others were too easy and were just copypaste from Hadoop docs
By Shrikant P
•Sep 25, 2019
Need to improve in assignments and end required practical representation with real scenario and examples.
By Tushar V
•Mar 2, 2016
Lot the material that is covered in the class in not provided offline, like Ppt and commands to execute
By Pantelis H
•Jan 3, 2016
I think that the lack of TAs complicated the course unnecessarily. Otherwise it was relatively easy.
By Diego D
•Jun 25, 2016
In less than one year they marked the curriculum as an old version and replaced it with a new one.
By xipei
•Sep 13, 2017
Some assignment questions exceed lecture coverage, hope to have more materials for reference
By Simon P
•Jan 24, 2016
The course was OK although some of the quiz question were phrased in a quite confusing way.
By Darren
•Nov 21, 2017
If the lecturer could be native English speaker, I think it wil help students learn better
By Youga L
•Nov 25, 2018
Could be more focussed on applications with an individual project as the final assignment