10 janv. 2016
Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.\n\nThe lessons are well designed and clearly conveyed.
27 mai 2016
I like the breadth of coverage of this class. Each of the exercise is a gem in that I get to learn something new also. I would highly recommend this even to experience practitioner also.
par Muhammad Z H•
19 sept. 2019
learnt a lot
par Ivan S•
11 mai 2017
par Jan Z•
21 nov. 2016
The course was very good - especially the map-reduce part I found very well explained and inspirational. The problem sets were thought-provoking and really taught me a lot.
Two things that could be improved:
1) The problem sets are really nice (again, map-reduce is the best one), but there are quite a few errors in the description, a lot of information is dated (e.g. in ps.1 the twitter link is old), and working with the grader can be very clumsy. See Machine Learning by Andrew Ng to see how to design perfect, easy to operate and submit problem sets. Perhaps work with PyCharm creators?
2) The second to last part was a bit lacking - it was basically skimming though all different types of databases, which didn't make me feel like I really acquired any skill. Because of how little time was spent on each database type and there were so many, I don't really remember much of it now (hardly anything to be honest).
par Dylan T•
6 mai 2017
The course is interesting and well made. Compared the the other two, I found the first assignment quite difficult and required quite a bit of time to complete. Introducing SQL through relational algebra seemed relevant to me, and made the formulation of SQL queries very natural. The section about map reduce may appear difficult to process first but as the student has to go through (and beyond in one case) the examples presented in the course. In the end, I found the assignment very useful in putting thing in place. I received full grade but still have to go through week 4, maybe a small quiz in the end to test our understanding of the different concept would have been handy.
par Dany M•
21 août 2017
There are times where a user without a very fast connection will struggle to set up, the virtual machine is impossible to get for them. Between the internet and the forum the needed information is there but it makes the first assignment take 15+ hours. A little help on the assignment page on how to get going on Windows would save a lot of people some time.
Apart from this ist is quite good. The automatic grading is amazing and the videos quite nice.
par Hao-En S•
14 nov. 2015
Excellent course content and lecture, however, the homework design is not so friendly for students.
First, instructions are not clear. I spent a lot of time in figuring out the real meaning behind each problem. Second, the judge system is not so rigorous. Though trying best on homework and not playing tricks are students' responsibility, the judge system is just too weak to survive those hackings.
Thank you all for your efforts.
par Kenneth N•
15 mai 2017
Overall a good course, with teachings bit into very manageable lengths of time. My biggest grievance is that your submission has to be in encoded in a particular format (utf-8) if memory serves. So you may have to resave your .txt files if you try to do all the programming on a windows laptop. This may be obvious to some, but it took me a little to figure out.
par Aayush M•
28 oct. 2015
I feel that there should be more assignments to make the course interesting. The last part just briefly explained about different database types but it also focused two lectures on Pig. There could be an assignment to make the lectures more meaningful or perhaps, a quiz. Otherwise, last week is too much information to grasp at once.
par Kay S•
6 févr. 2016
There are some inconsistencies in the course or the arrangement of the videos, maybe due to technical problems.
For improvement I would really wish to have some substantial results, especially in the last week of the course. That is, I would prefer to discuss at least something in depth rather than everything broadly.
par Christine H•
8 juil. 2016
This is a great introduction. I would give it a higher scoring but was frustrated with one of the labs have issues in the grader and even after completion of the course its not clear what was wrong: the instructions, the solution data set, the input data set. Other then that enjoyed the content.
par Jim S•
10 août 2017
The theory and relational algebra is a little heavy for me (I am very much a practitioner). That said, Prof Howe is *excellent* in is presentation. Very clear and easy to follow. Sometimes beats a dead horse (Map Reduce) and as a result, you definitely know what he's getting after!
par Andrew T•
2 déc. 2015
The lecturer is very, very knowledgable and seems to explain the landscape of topics both from a grand perspective and deep knowledge.
Though there are a wide variety of programming exercise,I would prefer some more in-depth assignments (as is usually the case with me and Coursera).
par Annavajjala S P A S•
13 mars 2017
The contents of the course were good enough. The assignments, though simple required some work in terms of understanding the kind of data that you are dealing with, which is important. Although, a lot of content has been covered, it was arranged in a logical manner.
par sreeparna m•
18 sept. 2017
The course is good. It definitely gives a broad overview of the topics. It's presented in an interesting manner and I would definitely go in-depth about these topics. Although, it would have been more helpful had there been more graded quizzes and assignments.
par Maxime B•
1 mars 2016
The power-point used has a lot of mistakes corrected live by the speaker.
The speaker speech is sometime slow and not precise, it probably has been recorded only once.
Apart from that the content covers the subject and the assignments are relevant and fun.
par Joris D•
21 mai 2017
The course gives a good introduction into handling large amounts of data, the problems it poses, and an overview of the available solutions. Towards the end of the course, it started to feel a bit less polished and more rushed, though
par Fermin Q•
3 nov. 2016
It gives good information, but frankly covers way too many tools at the end, and the explanations are good but somewhat rushed. Some parts were a little boring, as no immediate practical use seemed on the horizon.
par MICHEL S•
5 janv. 2016
Very broad and instructive course with a good level of theory, many practical examples. Good teaching.
Some nice assignments but a lake of assignement for the 4th week
I recommand this course
par Anne-Marie D•
20 juil. 2020
Well structured and nice overview of data manipulation. But the assignments should really be updated in order to use python 3.x instead of 2.7, which is not maintained anymore...
par Yu-Heng H•
25 nov. 2018
It's pretty tough in assignments especially when there are mistakes in the given description, but I do learn the basic concepts of relational algorithm and MapReduce from them.
par Wesley E•
4 oct. 2016
Definitely need some background in R or Python and the lectures are a bit old. Seem to be from around 2013 when this first came out but most of the info is still relevant.
par Sajit K•
11 janv. 2016
Its pretty decent. I liked the assignments. However there were some typos in the lecture slides and also the grader output is not very friendly.
2 déc. 2015
Very good course, but lectures could be more tuned onto the home assignments. A lot of independent work for me at least. Teacher is very good.
par Mandar B•
28 mars 2017
Course gives you good overview on different important data science technologies. Hands on labs are important to get the grip on concepts.
par Dmitry G•
2 janv. 2016
Last week of the course is too much information and without any assignments it kind of doesn't make much sense and it doesn't stick.