Oct 17, 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.
Mar 28, 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 Zaher A H•
Jun 22, 2017
The course is not structured well. I hope if the course provides the skills needed to build noSQL data models such as Columnar - KV - Graphical etc. but the course keeps jumping from notion to notion with no clear and smooth structure.
The lecturer presentation style is terrible.
By Erik P•
Oct 03, 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 Nimal J K•
Jan 10, 2017
The course content was not very appealing. Explanations were not that engaging. What I really missed was the actual practical aspect where you don't work with command prompt but an much more user friendly interface that is more up to date with current standards.
By Stanislav D•
Jan 24, 2019
Final task has numerous problems ranging from Coursera site formatting limitations that have not been accounted for to lack of master-answer to peers (e.g. peers unfamiliar with industry can't grade what they don' know)
By Robert H•
Sep 09, 2017
Tedious exercises through VM where instructions oftentimes do not work out of the box. It is a hassle to download the slides in small sets and their design awful. Definitely one of the worse courses I have taken.
By Izabelle A•
Apr 11, 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 David S•
Feb 03, 2017
I don't feel this course is always very clear. I Feel that I usually am missing the big picture. I follow it in details, but the pace does not match in terms of how you can view the big picture of it.
By Francisco J•
Aug 06, 2017
Lectures are not really useful for real examples. Indeed final task related to the graphs is not explained in the lectures about how to declare properties for nodes/edges in a graph.
By Floyd C•
Dec 31, 2018
Compared to the first course this one is not as good, especially Week 5. You can see lots of people complaining about week 5 which does not make sense to the students at all.
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 Guillaume V•
Jun 16, 2017
Disappointing course. Poor language level, many mistakes (grammar, words, in examples shown). Poorly explained and confusing final assignment
By Andrew C•
Dec 11, 2018
Level of content between week four and five is vastly gapped. Too big of a jump. No explanation of BDMS and DBMS in between
By Kaddoum R•
Nov 16, 2016
Too high level. Last assignment too ambiguous, peer assessment was completely random and not reliable to pass the course.
By Enric P C•
Feb 08, 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
By Lucas A H•
Jan 19, 2019
Too simple for a persona that's already in the BI industry
By James K•
Feb 11, 2017
Too simple, no programming, just theory.
By Irfan S•
Sep 26, 2017
Very basic and lack real time
By Joaquim P•
Jun 11, 2019
By Massimo M•
Jan 28, 2018
Sorry to say, but the course's topics are superficially explained. Teacher provided an overwhelming quantity of concept at the speed of light with very few practical examples. The entire course is not very explicative for someone that is not already a subject matter expert (that any case would define this course no more than a quick review). The assignment requirements are unclear and, in my opinion, teacher has not sufficiently explained the concepts required in order to straightforwardly perform it. More over, the assignment requires to use tables and graph, but the learning platform embedded editor does not allow to design this kind of graphical elements.
By Leslie X•
Jun 23, 2016
hard to follow not because it is difficult, but the lecture is only slides, texts, reading slides, very boring and not so many hand-on instruction. only thing i remember is the instructor's face after finish this class. Dont know why you add this into such a good specialist.
By Robert P•
Sep 25, 2016
Poorly designed assignment on data modeling did little to expand my knowledge on the topic. Which is a shame since the individual lectures were well done and very interesting. The "Pink Flamingo" peer-peer-reveiwed exercise needs to go.
By Kjell L•
Sep 12, 2016
The last peer review is really hard to do. Hard is because the wording is very ambiguous and not all understand how to review. There was a guy who answered with SQL query. This is hardcore since we have not learned that yet...
By William R•
Oct 06, 2016
As a manager in an IT consultancy, I can't justify sending my personnel through this course, even at $69 per course. The amount of information gained is very thin and does not move one toward being productive.
Nov 05, 2017
The content is only intended for people who have a background in this field. The peer graded assignment is completely unclear on instructions . the test is not at all well devised. I am regretting.