Too vague, many things have not been well explained. Sometimes quizzes are hard compared to the explained materials; assignments are not also explained appropiately. Think also San Diego Supercomputing Centre should provide resources for more realistic assignments rather than providing a virtual machine that needs high local resources.

Poor instructors at best. Python skill is a pre-requisite for this course. Spark and MapReduce modules lack the big picture overview for students to understand and later apply their knowledge in the real world. Tech knowledge and skill mean nothing if it cannot be applied in the real world. Poor delivery and execution.

the contents are great but the maintance of the material is sloppy. Many input files wont work, without the forums (where other users and not the instructors help) there would be no way to get ANYTHING running this course. Very unfortunate. Quite disappointing that coursera lets USD rip of their customers

While there are some assignments around features of HDFS, Spark or MapReduce, they only touch the very basic concepts and even then some of them are explained rather poorly. Furthermore, the whole 1st week is almost a repetition of the first course. In general, the course lacks technical depth.

This course is not well structured. The "teachers" are not presenting well and are not motivated/encouraging. The Instructions for the Assignments are incomplete and the Quizzes are only partly covered by the material. Due to the bad presentation it was really tough to understand/learn Hadoop.

Lectures are very bad explained, ambiguous definitions, leading to very hard quizzes.

Also some exercises have python syntax errors which for me it's not a problem since I have a background as python developer but it surely has been a pain for people without programming experience.

Very poor quality of both video luctures and exercises: knowledge required to complete tasks often not related to lectures or overall average skillset.

Lots of tecnical issues with software needed to complete course.

No help from TAs at all, students only helped by other students.

The lessons feel very disconnected and it appears that the reader is simply reading out some text material verbatim. No real explanation of the "whys"..just some "whats".. material that is anyway very easily available from standard online documentation of the products

Very bad design. The instructor is nervous and not well prepared. The contents are very redundant, they keep repeating the general definitions but neither go deeply inside nor provide some application examples. I regret to take this course and waste time and money.

Too much introduction, not enough content and information.

The entire first course and the first half of this course should have been shortened to maybe 1, 2 weeks max of this course.

Not enough lectures in one week, only trivial examples and assignments included.

DON'T ENROLL!

Outdated material, the virtual machine is very buggy, and the teacher in this course really changed my mind about UCSD.

I mean, I'm not a native speaker, and I still feel the second professor speak so slow even I turned on 2* speed.

There's no way to complete the course if you don't have previous coding experience (and they DO NOT mention it before, actually, they say you don't need it). The staff also do not help to complete the assignments. The lectures are poor as well.

The course is generally low on content. Professor in week 2 keeps repeating the same things of week 1 without adding much. The need to install a VM with significant hardware requirements makes it hard to complete the programming assignments.

Very confusing assignments, course overlaps with the following course, and there are no mentors to provide guidance. Also, knowledge of python is mandatory, even though the course description says otherwise. Overall, a terrible experience.

One can see this is a task the department has got, it's a have to and not I like to do. One can notice that the teacher does not really care about their teaching. The course is inconex. Bad hand-ons. Feels more as a seminar than a course

avoid like the plague.

this whole specialization is a mess. super short videos with no details whatsoever.

easy exercises that teach you nothing and don't make you practice or acquire any skill.

lots of mistakes in quizzes.

shallow.

This course seems like a part of a large course, from where some fraction of modules copied. The instructors are hard to understand. They are teaching in a sense that we are expert on hadoop 1.0 and now learning hadoop 2

Course material and delivery is very very poor. There are better, much better, material available in youtube for free... Also check other Data science courses here, esp the one by john hopkins. That is a good one...

I have an Ubuntu machine and found it difficult to install Cloudera's QuickStart VM. Very little help found on the web as well. Please, provide some documentation as to how one can install this software. Thanks!

Yo pensaba que siendo este un curso de Hadoop, estaríamos frente a la computadora todo el rato. Pero solo toqué mi computadora dos veces con comandos que no sabía para que servían. Pésimo curso, no recomendado.

I was not able to get through the coding part of the assignment. I had some experience in SQL and R but it was still hard to try to figure it out. Debugging in the Hadoop environment was not very easy.

Very abstract, fails to engage within the first few lectures, AND MOST IMPORTANTLY : no explanation of the technical terms used. If I knew those terms, I wouldn't be taking a course in the first place!

Terrible presentation of content. Badly written instruction making assignments needlessly harder. Zero engagement to help learners solve logistic problems such as running & submitting assignments.

Sinceramente es el peor curso que he tomado en coursera, nada claro, a pesar de haber pedido ayuda economica no pude temrinarlo de lo pesado y confuso que es. Es una decepcion, en serio

test questions too often not aligned to course content.

exercises required much more programming than advertised.

exercises too often poorly designed, written and constructed. do better.