Kursteilnehmer-Bewertung und -Feedback für Introduction to Big Data von University of California San Diego

Very theoretical

Quite shallow...

Lot of talking.

Not good enough

A bit outdated

Good overview

Pretty basic

nice one

Good st

I had quite some high expectations for this course however Week 1 videos were already such a turn-off. The videos were so slow-paced that it actually became just like a lecture at uni (boring). However, at first, the content was indeed interesting for Big Data introduction. The first quiz was horrible. It was so hard, half of the questions had nothing to do with the content (in my opinion). I had to research the subjects on another websites as I honestly did not see half of them on the videos. All other tests were more reliable to what was previously learned. But the part that made me more upset was having to download and install 2 applications (this was not explicit on the programme) for the final assessment understanding and answering a 2-question quiz in which one of these applications had FOUR GBs to be downloaded. Up to this point, I did download the file. Overall I do not recommend this course to anyone. Reasons are clear: the "sluggishness" of the videos and presenter and the final/ultimate 4GB gift. They should create an online environment for this task/application. I do give a star for the assessment where we had to create a presentation of how MapReduce works. I liked that interactivity.

The content of the course is ok. The main problem is that the way the information is presented. Ilkay Altintas, who is the main lecturer, is a sweet woman, but lecturing from a manuscript is not her strongest side. It is clear that she is reading from a screen while she is looking into the camera. Anyone could do that job, and they should have chosen more of an "news anchor" type of person with better pronunciation and more flow. It's simply very uninspiring and boring to listen to. Also, 59 dollars is far too expensive for such a short course.

Its was more of theoretical knowledge than application knowledge which is generally required for working professionals.

Practical implementation example are less.

Courser material still refers to the 5.1/5.2 Virtual Box versions which are no longer supported. A link to Virtual Box would have been better than installing locally in system.

Hadoop exercise could have been more , better if divided into smaller tasks with commands usage for better understanding.

It covers theoretical part of "What big data is" and basic info about Hadoop. Quality of presentation slides is below average. Most of them are not readable - many fonts, many colors, some with complicated pictures, some with no information at all. Part with Map reduce is just slightly touched, not explained in details, without examples. Practical tasks from hadoop are very easy and they show nothing (just how to navigate over hadoop file system.

The basic concepts were mentioned but not explained deeply enough, so I was mostly memorizing rather than understanding. The presentation was boring, and the tests did not really test anyone's understanding of the subject matter but rather if one memorized correctly the information from the videos. I would recommend finding a more engaging course.

There is a big learning gap between the first two weeks and the third one. Some key concepts are poorly or never defined throughout the course. By the end of this course, I lack the knowledge to perform a basic big data analysis. The tools we learn how to use during the course are not particularly relevant.

Decent overview of things but the presentations seemed outdated. The material is a bit too basic and could benefit from more practical aspects. It felt like not a lot of effort was put into making the course. I hope the next few courses in the specialization are better :)

No clear guideline of how to use Cloudera proparly. Some functionalities you need to complete the final weren't even mentioned during the lectures! It took me several hours to find useful information about it online.

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.

There is a lot of terms that is not needed, the presentation of the course does not inspire to want to know more and is very one tone. If you know a bit about data and some concepts you do not really learn a lot

The material was pretty out-dated and extremely basic. Given the technical nature of the later courses, this material would only be useful for people are incapable of finishing the specialization.

It is old fashioned and much theoretical. Does not mention any details about hive, spark etc. But if you want to learn the history of bigdata its good for it and understand main need.

I have problem at the last hadoop part, which requires a lot of laptop performance and eventually let my laptop went into repair.

Do be careful while sign up for this course.

You can easily get away with skipping the first two weeks of the course. Only the last half the third week seems to contain any real technical information about hadoop.

I guess I shouldn't be pissed at an 'Introduction' course to be too basic, but still... It's completely skippable, even if you don't know anything about big data.

This is more focused on theory than practical experience.Its better to shorten the video duration so that it will not be boring to listen to lectures.