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 Lewis m•
So far the questions and quizes seem unrelated to machine learning. The videos are poorly set out, with breif explanations and the whole thing seems rushed.
par Ruslan I M V•
Apache spark is great and powerful but the lectures are not clear and long.
par Nicolás F•
Trully disappointing!! Waste of time and money. Really poor video material and exercises.
I definetelly dont recommend this course!!
par Benhur O J•
Too superficial. The python example codes are very cryptic and not very well commented. The programming videos are very difficult to follow because the instructor is literally reading the code instead of explaining it.
par Mohamad S•
Video is outdated. The course material is not structured properly. Lack of explanation on the code. The code reference is confusing.
par Batyr A•
Demotivating course, the worst I studied on Coursera. If not "AI Engineering" path I would have dropped it
par Pierre P•
I am quite disappointed by this course, which could be greatly improved.
Here are a few remarks :
1) Half of the course is about basic statistical distribution analysis : always nice to learn about that, but it has nothing to do with spark and is more general datascience knowledge
2) Most of the topics are just mentionned but the instructor, which never goes into explaining interesting details. It's always "don't worry if you don't understand that, it doesn' matter". Well, actually if it's only to learn basic stuff I don't need coursera...
3) In several videos, the instructor just records himself coding with spark for several minutes. How boring ! At what point do you think this kind of video is of any interest for your student ? What are the practice lab for ?
4) The quizz are annoying ! Not that they are "easy" but most of the answer of the questions are either ambiguous or not related to the course and must be found elsewhere
5) The final quizz is a joke and you just have to run a notebook and then copy/past the answer. Even there, some question are ambiguous : you are asked to change a model and then "compare the models", but which one ? The one we changed or the initial one ? And so one.
In conclusion, I learn some things and practice a bit apache spark with this course, but 90% of what I learned come from other sources than coursera... I put excellent marks on other courses so don't think I am just ungrateful.
a very low quality course, not recommended. 质量很差的一个课程，讲师带严重口语也就算了，连英文字母有时候都缺失或者对不上，作业质量也很差，不建议上，看的累
par Petr J•
Obsolete presentations with low quality of explanations. I would not recommend this course to anyone.
par Jay P•
par Philippe D•
The course is interesting but I think a few things could be improved.
For instance, some code examples from the videos are outdated because of a newer spark version. The video was edited to mention that the github repo was updated but I was unable to find the updated code.
One (maybe more?) of the videos was done in a car; It makes the whole thing feel unprofessional even though the teacher's skills far exceed the requirements for teaching this course.
As others have mentioned, the teacher's accent can be a bit difficult to understand at times but to me, this does not affect the quality of the course. The teacher always seems interested and is smiling most of the time which might seem unimportant but it still sets a positive mood for the lectures which is great.
All in all, the course is interesting and it provides a good introduction to Machine Learning using Apache Spark.
par Yasser E H•
Really interesting content
Unclear coding explanations
Limitations with the free access in IBM Watson Studio
par Abdelrahman g e f•
the accent of the instructor was very hard to understand him during explanation but he was good instructor at all
par Suresh C•
There should be more details about Apache spark and some examples
par Denis U•
Very primitive tasks
par Ujjwal G•
For a intorductory course it is very good. Do not expect anything too advanced.
par Jair J C C•
Very Good, but I think the course needs more challenging exams
par Amit T•
In very simple and crisp way a lot of details are covered about Apache Spark. Very good way to start.
par Waqas K O•
Great tutor, he loves to keep things simple and to the point. Loved the course.
par Gherbi H•
A very good course and will recommend it for anyone who has Apache Spark experience and wants to get an introduction to ML lib and machine learning in Apache Spark, the assignment submissions need some work but other than that a very good introductive course.
par Farrukh N A•
Course can be improved by focusing more on ML algorithms.... Explanation of GBT and Random Forest was not provided. But they were used.
par Justin M•
The Videos/tutorials need to be updated for the new pyspark. Some are still using python 2 which reaches end of life in a month!
par RICARDO H R•
It is in general a nice introductory course to see what ApacheSpark means and what it can do but the course is a bit outdated with a lot of patch notes on the slides telling you something is not the way it is shown, the production of the 2 first weeks is bad (bad sound and unintelligible slides).
I think IBM should update it and maybe make it more challenging 'cause you barely get hands on experience, the graded quizzes are pretty easy and not much of your grade is related to practical exercises.
par JULIAN S•
After completing this course you will be able to use Apache Spark to build ML models (e.g., Linear Regression, Gaussian Mixture Model, etc.).
par Dr.Mainak B•
Thanks a lot for helping me. I would suggest that the data storage in IBM cloud should be described in detail.