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)
par Radu G•
Dec 21, 2016
The final test has little to do with the course. You must do extra study to respond.
par Jorge F d l V G•
Oct 23, 2016
The level of the exercises and quizzes don't reflect the content of the course.
par Congcong Z•
Nov 07, 2017
it would be better if there is person to person explanation of homework
par Moses B R H•
Jun 19, 2017
Week 6 Peer graded assignment instruction should be more detailed.
par Manik S•
Aug 11, 2019
LOW QUALITY VIDEOS, OBSOLETE RESOURCES, VIRTUALLY NO TECH SUPPORT
par Tze M H•
Sep 07, 2017
Some concepts are too abstract, find it hard to understand.
par Waldo U•
Dec 31, 2017
The last assignment is really vague and poorly written.
par Abu R•
Aug 01, 2017
Hands on practice needs to do a better job
par Tushar S•
Oct 04, 2016
Just about okay. Wouldn't recommend to pay for this.
Aug 19, 2019
Peer-graded assignment is very badly described.
par Gustavo S•
Aug 08, 2016
More practical exercises should be recommended.
par Amit D•
Jul 13, 2020
Good Course. More practice sessions are needed
par Gregory S•
Sep 29, 2017
Assignments were vague and hard to understand.
par Abhishek V•
Jul 31, 2017
Final assignment needed to be more clear
Aug 06, 2018
The course requires more practical part
par Christine G•
Aug 09, 2017
Capstone assignment was disappointing.
par Marco F•
Apr 24, 2018
Final assignemet is too hard.
par JUAN A R R•
May 11, 2017
poco contenido práctico
par Ra'ed A•
May 07, 2019
Fix the mistakes!
par Ruowang Z•
Apr 24, 2020
par Barend M•
Jul 13, 2017
par Hendrik B•
Dec 17, 2017
Sorry, but I don't think this is a very good course. Here are some reasons why: The time said to be needed for the course is artificially increased, because there are ten minutes appraised for each set of lecture slides. At the end, there is almost no reading material, which is not obvious when looking at the course at the start. I think this is almost fraud. Ultimately, there are basically only lectures, no other media to learn, except for some multiple-choice quizzes. There are Coursera courses which are way more diverse. Additionally, the lectures are not particularly good (not speaking of the horrible design and colouring). Especially, when talking about some examples for BDMS, it is difficult to follow because some of the concepts have not been explained properly prior to that. The quizzes are not very good, and it is very obvious that there is not much thought behind the answer options. Also, for the quizzes you almost exclusively need to memorize learned stuff, but not to transfer knowledge or to apply knowledge). The final exam was a joke, because there was NO attempt by the supervisors to give students some intuition about the right answers after they submitted. Still, they were expected to rate others’ submissions. Meaning, when you didn't know how to answer a question, you were still expected to rate others submissions. Seriously? In general, so far it feels like the lecturers attempted to make a shallow course for a big topic, meaning big data, in order to get some money (after all: it is expensive to earn a course certificate). There are courses on other topics (e.g. “Game Theory” by Stanford University, where the quizzes are relatively hard but you get a feeling that you learn something, “Improving your statistical inferences” by Eindhoven University, which has many different media to learn, not just lectures, and has exceptionally good quizzes, as well as “Bayesian Statistics: From Concept to Data Analysis” by Santa Cruz University, which has very modern style of presenting the lecture). Sorry, but I think this course needs improvement, especially since the topic is so important.
par Kamran H•
Jun 05, 2020
Too much talk and less practice.
It is like you are at university class. If I needed to get bunch of unnecessary information in big data,I could have go to get proper diploma in some university. The purpose of doing online course is to have practical points about big data, not to get all those information which I am going to forget after few days.
I would suggest to change the structure of course, reduce number of examples and talks in videos, and increase more practical things on Big Data field (ex, doing some exercises in cloudera etc.)
par Isaac L•
May 07, 2018
The quizzes tested superficial knowledge, and basically just required you to memorize bullet points from the slides. The final project had incredibly confusing instructions, and the discussion forums didn't really clear anything up. The course materials seem to be about 5 years old, and I'm sure a lot has changed in terms of tools and technologies since then.
I've learned some useful information from this series of classes, but it doesn't seem like much effort was put into the content beyond the lecture videos.
par Raivis J•
Feb 11, 2019
Some topics swing wildly from high level to very technical or in-depth math, which in my opinion is not needed, this is not a DB administrator course.
The hands-on exercises seemed loosely connected to the course topics. I would have liked to see practical tasks based on real-life problems and situations in big data applications.
The final graded assignment is for someone completely new to the concept of databases, and has no relation to big data, or tools used in big data, which is unfortunate.