Learner Reviews & Feedback for Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames by Yandex

A decent course with lots of room for improvement to be great.

I absolutely loved the sections taught by the two Pavels. Their presentation is top notch in depth, structure and clarify.

I could not stand Natasha's lectures. Please read to the feedback on the forum and rework those weeks. It is a shame that there is such inconsistency of quality from week to week.

The issues with the grading machine are unacceptable. It gets tripped by simple, common variations in code. (Ie putting the name of the database in the from statement as opposed to using a standalone "use" statement in the hive assignment - executes perfectly in the sandbox). Would have been nice to call out explicitly or better yet, provide a template notebook with the line written. Hours wasted on such problems makes me hesitate to recommend this course to colleagues and friends despite that this is probably the best one on Coursera for now.

This course has a very good content for me. But I really tired fighting with the assignment grade system. I have crushed with many technical problems. And sometimes it's not clear how to find the right way to execute the assignment. It's why I'm unenrolled from this course.

Good content but the assignment grade system is frustrating. You spend so many hours trying to understand which are the errors or the way to execute the assignment. Tutors do not answer your questions . It's why I'm unenrolled from this course. I definitely do not recommend it.

I'm very disappointed by technical support in this course. There was a whole week, when all students can't submit their assignments to BigDataTeam's grader system. Among course's materials you'll get very uncertain introduction to Graph theory with very unclear and hard to understand final assignment (for honored students). You shouldn't look for Online Notebook button while taking assignments in all this specialization. There is no one! But every practice material will confuse you by pointing to this button. Nothing changes about years, I guess.

Unfortunately, I often spent more time trying to get my assignments to pass the automatic grader than on solving them. This made the course a bit frustrating at times.

I think lessons about GraphFrames were too hard. I cannot understood a lot about algorithmes and didn't do honor tasks ( More examples and more explanatons could help a lot

Didn't like the course for several reasons:

1. Mentors seem to leave the course. Do not expect any feedback from them.

2. Notebooks are broken for months so you can't perform assignments without docker.

3. Weeks are not consistent, the material quality differs enormally from week to week.

Only good content can not suffice for a good tutorial. I tried hard to pursue this course, but now giving up for the poor speakers, poor communication and lack of helpful visual aids.

Thank you.

minuses: GraphFrames seems useless. No tasks on them. And a lot of time were spent on algorithms, not spark functions and internals.

Other were good!

The content of the courses and some of the weeks are very good, but other are terrible with many problems in the lessons and in the assignments. Some of the teachers seems to take very little care in the preparation of the lessons and the related material and this dramatically reduce the overall quality of the course. Could and must be improved.

Although I do believe that the teaching in this course was adequate, and I think the teachers involved were working their hardest to convey a complex topic, it was really hard for me to follow.

Grader is awful

content of the course is remarkable and the way they explained concepts is very lucid. I just want to give suggestions please give link to the data set they are using for illustrating the concepts.

The biggest problem is the English speaking of lecturers, except week 6. It brings lots of difficulties to catch up with the notes and understand the ideas, auto subtitles even failed to translate in lots of places.

However, content is really good since week 4.

It will be great if the lecturers could illustrate or demonstrate the ideas instead of just reading the notes, as we all can read the notes.

Terrible, most of the slides contain mistakes and typos. Pictures are not illustrative and ambiguous. Subtitle are totaly useless as generated by neural network. Russian-Amecasian language, terrible accent and prononciation. Inappropriate jokes and wild gesticulations.

And finally: not working instrument - docker images, labs, assignment tools - and unresponsive support.

I wish I could give more rating than 5 :). Excellent course. Thanks so much for such an excellent course. All the instructors are great.

This course is so detailed and focused on the basics of the Hive and Spark SQL frameworks. Amazing professors.

Excellent teachers, but material from lessons on graphs required a lot of time.

Great course if you have a little bit of experience in the big data world.

Eye Catching career Matching course..especially lectures by Alexey Dral

It was worth to spend my time on it.

Excellent very skill full

Wonderful tough course!!

Good informative Course

Very Practical !!