MP
Oct 16, 2017
Good Explanations of Concepts and Nice Tests. I got a trilling experience in completing the peer Assignments with keen observation and Analyzing of Concepts learned.Thanq for your course very much.
VG
Mar 27, 2017
Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)
By Tushar S
•Oct 4, 2016
Just about okay. Wouldn't recommend to pay for this.
By Mohamed A
•Oct 26, 2020
The course graphical interface makes me confused.
By Diwen
•Aug 19, 2019
Peer-graded assignment is very badly described.
By Gustavo S
•Aug 8, 2016
More practical exercises should be recommended.
By Amit D
•Jul 13, 2020
Good Course. More practice sessions are needed
By Greg S
•Sep 29, 2017
Assignments were vague and hard to understand.
By Abhishek V
•Jul 31, 2017
Final assignment needed to be more clear
By Rand E
•Aug 6, 2018
The course requires more practical part
By Christine G
•Aug 9, 2017
Capstone assignment was disappointing.
By Marco F
•Apr 24, 2018
Final assignemet is too hard.
By Juan A R
•May 11, 2017
poco contenido práctico
By Ra'ed A
•May 7, 2019
Fix the mistakes!
By Ruowang Z
•Apr 24, 2020
too simplistic
By Barend M
•Jul 13, 2017
.
By Nathaniel M
•Aug 26, 2021
This is a difficult subject to teach in an online introduction course, but this was assembled poorly and in need of a reboot. The lectures appear dated, lengthy, and lack much substance (outside of the final lecture). The final, peer graded assessment is a joke. 5/6 peer assignments I graded were the exact, word-for-word copied answers from an internet source. I received a failing review on my first submission with 0 explanation for the grades. I spent the majority of my time in this course not gaining knowledge about BDM, but overcoming bugs associated with running outdated Oracle VM and petitioning to get valid reviews of my final assessment. Easily the worst course taken so far on Coursera.
By Othmane B
•Nov 12, 2016
The course a materials are interesting and with significant value, same comment on the teachers, this would be perfect if the third party(the VM) is working fine, I can't say I'm happy about the course where the frustration is probably the right word describing my feeling right now, wish me luck for this week, I might pass might not ......
By E P
•Oct 3, 2017
I think some real polish needs to be applied to the final assignment in this course. Some of the questions are not formatted well for the coursera web site.. and even on my macbook pro retina I am seeing text overrunning the text box. Really want to see UCSD represented better
By Izabelle A
•Apr 10, 2019
Cannot finish Twitter activities as commands shown in the video apparently don´t work with the most recent pyhton version. I am very disappointed about it, since I am mostly focused on Twitter-related data.
By Abdulrahman A T
•Jul 20, 2020
The course does not add much knowledge if you came from computer science field. It touches the very basics. The exercises are simple, and the final project is very vague.
By Allyson D d L
•Oct 15, 2021
Very poor in practical content. The maximum you will see is to run done python scripts in the virtual machine; But you can also run in your personal PC.
By akhil r k
•Oct 24, 2016
I wish the courses are more project oriented. This is a very good introduction but, atleast you could provide some optional projects or some tasks.
By Otto E
•Sep 21, 2021
The content is good but this course needs an extensive update of the course material (labs and power point presentations).
By Ján M
•Apr 18, 2021
I spent a lot of time setting up VM, as packages from python and libreoffice wasn't working
By Enric P C
•Feb 8, 2019
I have found this course less attractive to follow than other Big Data courses
By Riccardo P
•Apr 20, 2018
Barely an introduction, it could be somehow merged with the course #1