Installation instructions need to be improved. Wasted too much time installing, rather than hands-on practice

the instructions to the final test are insufficient and the forums cant fullfill the students questions.

One of the tools mentioned tin the course do not work with Cloudera any more. So my labs became tough.

A little slower than the last ones, not my favorite but great use of hands-on projects and enagagement

Needs more depth. Instructors should reference more external readings since the lectures are brief.

some of the stuff was not mentioned properly, like for last quiz how to expoert data from mongodb

THERE ARE MANY PROBLEMS WITH ANACONDA INSTALLATION AND PYSPARK NOT RUNING CORRECTLY

The last assignment of Week 6 was far more advanced than the rest of the material.

You could focus more on Spark that is the widely software for Big data Processing

very nice, just wish the environment was using docker instead of virtual machines

I think that there should be more exercises for MongoDB and Spark assigments.

Not very efficient hands-on practices but overall good learning experience

Good course. But we couldn't relate the theoretical videos with hands-on.

Teaching is good but practice software provided completely outdated.

The final assessment somewhat not really well designed, imho.

Pyspark environment is quite not ready for this course.

spark hands on should have been more instructive.

mam teaches well while sir is not good at all

Good info, just a lot of info to digest.

All is good except the Splunk case

Very difficult final exam.

Course needs update

Tough one.

The course and presentations were very informational and good. I enjoyed that aspect. I would have rated the course 4-5 star based on that. The reason for the low rating was the 6th module, and the fact that I felt very ill prepared for the syntax of creating all the operations in Spark (building out the Jupiter notebook). We really did not cover much of that, and it was quite punishing to search the web and sources to make things work. Even the instructions to export the csv file were misleading at best. I have a full time job and a family, I am not some young undergraduate with copious amounts of time to waste. While I am not opposed to some searching of other sources, I would like to have more of the useful information taught so that it is not so much of a burden. I believe that if you are going to test people on something, you should at least cover it in some sense.

With deep regrets I feel obliged to share a negative rating on the course. While the course material/video lectures are average to good (no rocket science but well done introduction into the subjects), the hands-on exercises and particularly the technical environment, i.e. Cloudera VM is entirely messed-up: - setup scripts are not working/ are outdated (e.g., anaconda requires no-check-certificate); user permissions are all set wrong and need to be corrected; firefox outdated with update function not working; countless error around spark context (SC) variables.... and so on... For a course that is so prominently promoted on the platform the least expectation is that the provided environment works and that students don´t need to spend hours on google to figure out how to debug the cloudera image.... Here, imo, a much better job can be done!