Excellent course! All the explanations are quite clear, a lot of good quality information provided from amazing teacher. Additionally, response times for any question is very fast.
Really really REALLY enjoyed this course! The instructor does a masterful job of going from simple examples and building up complexity in a very logical and thorough way.
par HoangVan N•
This course is very good for me but there is a video not watch in Week 3
It would be perfect if the coding showing screen could be more clear.
par Roberto M•
Good course, but the instructor sometimes seems to be a little off.
par YERRAMOTHU G S•
TRAINER IS GOING BIT FASTER BUT HAD FUN WITH THIS COURSE THANK YOU
par Vijander S•
the programming environment is complex it should be explained
par Maurício C B•
Precisa ser atualizado. Possui correções em alguns vídeos.
par Ilham R•
this is a complicated course especially for beginners
par Víctor M F S•
Quizas alguna propuesta de ejercicios menos guiados
par fulvio c•
The lines of code provided are extremely valuable.
par Utkarsh B•
There should be some more exercises for practice.
par Devarshi G•
Would've loved if more practice tests were given
par Harshit K L•
The Course can be made to cover some more basics
par Valerio R•
Please less math calculus in the quitzzes
par yasemin c•
Need to be more organized course items
par REN F•
Environment never get set up properly
par Daniel J B O•
Good refresh of Apache spark
par LIN J•
Video is too blur
par Adrien P•
par SK H H•
Can be better
par Narendra b O•
par Julien P•
Content was good even though very basic on statistics, certainly a good intro to Spark. However, final project/quiz was nearly insulting. Code was already written 100%, and most quiz questions were about copy/pasting literal output from pre-written code. Thought a mistake was made at first.
When students follow a course with a serious intent to learn, giving them a final quiz that barely tests their knowledge is a big downer, and makes students feel like they wasted their time learning all this stuff (even though they didn't). Students had proper access to all the code they needed to write 100% of the code themselves for the final quiz. Not sure why everything was done for them in the first place.
par Anna A•
If you have some experience with python or ML - it is an easy course to follow but seems not to be deep enough. If you are begginer in these field I do not reccomed the cource.
Not really systematic. The only thing it does: of you have and experience with python and ML it let you taske Spark. But all you skills seems to be not really used. Also the concepts of sparks seems to be hardly touched. I would call the course "Hello world"
if you are a begginner: you will not learn about ML or python. Some concepts are explained on simlpfied level that could lead to misleading.
Tests and actual topic seems to be unrelated
par Vladimir G•
Good day whoever reads this!
First of all I'd like to say thank you for the course. This topic is pretty interesting for me and I move through this course with interest. IF you would update videos according python 3.6++ as in notebooks it would be much easier to learn and get into things. Also final assignment seems a too easy.
Also quality of sound and videos varies from week to week, and sometimes even from lesson to lesson during one week.
Good day and best luck!
par Peer B•
The course was presented well by an enthusiastic instructor. The material covered was very good. Unfortunately the course did not offer challenging coding assignments to help the student really embrace and exercise the Apache Spark system. The graphics at times were blurry and hard to read. Suggestion: Maybe incorporate some coding assignments that are graded by the community of students in conjunction with the various tests in place now.
par Luis C•
It is a quite basic course and the overall quality of it is not very high. There are several errors in the slides which are corrected on the go.
It is good that you get your hands dirty and have the opportunity to play around with the development environment. However, the ML algorithms and models are not very well explained in the videos and I missed deeper explanations.