par Vijay P•
8 juin 2019
I wish there is a coherent explanation of procedure to do graph analysis on AWS. The required details are provided in bits and pieces in the discussion forum and in github. I had to spend a lot of my time figuring this out. If you are new to this be ready to spend a lot of time or better take some other course where all explanations will be provided. But if you have some experience then this course is great.
par Chen Y•
2 oct. 2016
The instructions are very good, and it's nice to work on real big data. Also it is very helpful for hearing information about how a data scientist should consider problems carefully. Without taking the class, it wouldn't be easy for me to rationalize for example cost and sensitivity issues.
However I took out one star because of the instruction for the final assignment being out of date. Although the task it self is not too hard to figure out. The initial instruction on how to start using AWS was outdated.
par Mary A•
3 nov. 2018
The assignments for this course are outdated and not well supported.
22 juin 2017
yikes update the github resources please
par Piyush K•
7 janv. 2018
Really disappointed by his way of teaching. He assumes we know every thing before hand, database, server etc. He just has basic concepts in his lecture classes while intermediate level implementations of it in different languages. He just instructs check out this tutorial online and do this assignment.
If you are already familiar with all the languages and software platforms that he is using than you can go ahead with the course or you will end up like me where you will have to take up different courses to just complete assignments of this one.
par Red R•
11 janv. 2022
Outdated labs and technology, no updates and no free offer by Amazon. Please avoid taking it!
par Weng L•
6 juin 2016
Very good exercise to pick up PIG and AWS environment. It is best to pick up jupyter notebook prior to taking this class for the first exercise. I like how David has been able to present so much content in a 3 weeks lesson.
par Bingcheng L•
7 août 2019
Too little people participated and long peer review time.
But the course content is good.
par Shivanand R K•
18 juin 2016
Excellent thoughts and concepts presented.
par Menghe L•
27 juin 2017
very good course for learner
par Daniel A•
18 déc. 2015
Great class !
par Julia L•
9 févr. 2016
First professor was incredibly good at giving an overview over design choices in data visualizations.
Second professor sadly somehow spoke too fast and had less of a red thread through his presentations.
The first and second week of courses were good, the third week however was too hypothetical and one-sided.
par Gregory R•
10 nov. 2016
Good class, very effective hands-on homework tasks. One thing I found is that the time for homework is very underestimated by course creators. It takes much longer to complete the tasks than indicated and within time given. Otherwise, very happy with taking the class.
14 janv. 2016
Excellent content. Detractors were some of the lectures had a continual popping in the audio and the instructions for the final assignment seemed a little dated and required a bit more work to figure out the correct steps.
par Fermin Q•
12 nov. 2016
Great and useful first week about visualization, although I wish it would cover more material . The ethics and cloud computing felt somewhat incomplete, but useful as well.
par Albert P•
18 juin 2017
The information from the last assignment is split into Forums and Tasks description. This is very easy to fix and not doing it shows passivity from the organizers
par Tebogo M•
2 févr. 2017
Nice course into data science
par Fernando S•
18 nov. 2016
The peer-review assignment is not properly designed. From my own experience, colleagues tend to underestimate other people's projects. In addition, the peer-review had an extra/optional advanced component (analysing criminal patterns for a second city; comparing patterns across two cities), which I carried out but got no extra credit for. The extra work was not even part of the assignment classification -- there should be a bonus question for students who carry out the advanced part of the assignment!
par Ivajlo D•
13 nov. 2018
The material was very general and I think a little bit superficial especially the first week concerning visualisation. There was very little connection between the videos and the actual required skills for the assignments and although I like learning by doing a little bit of guidance would have been nice so that you know that you are doing things in the best or most appropriate way.
par Roberto S•
13 juin 2017
I took it when the specialization was just a single, 12 week course. The assignments are barely updated and you have to rely on instructions found in the forum. It has audio quality issues as well. Otherwise, the content it top notch.
par Joris D•
8 juil. 2017
Not really the same quality as the first two courses in this specialisation. The lectures videos are somewhat disconnected from the assignments.
par Solvita B•
20 avr. 2016
Nice lectures with lot of good information. AWC setup instruction need to update according new AWC interface.
par Alexandre C•
1 avr. 2016
Very interesting subject. Nevertheless the training course material is too theorical.
par Jana E•
7 déc. 2017
Guest lecture is interesting, other lectures are of quite low quality
par Anton S•
19 déc. 2015
OK, but obvious for someone who has worked with data science.