Dec 12, 2019
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.
May 01, 2020
I like the example given and step by step tutorial given. The explanation of why things are the way they are designed certainly helped me understand the concept. Kudos.
교육 기관: firstname.lastname@example.org•
Jul 08, 2020
Too high-level, mismatch between code and Watson setup Video vs working notebooks, teacher does not explain basic building blocks re RDD and DF what is the difference, when each of them should be used, complicated subjects have videos by 3-5 minutes, absolutely simple exercises. What is the basic difference with sckitlearn and how different work should be organized. NO any supporting materials, some code is not working, errors in videos with clues "don't do this"... Not serious approach for building this course. Sorry
교육 기관: Cristina G•
Apr 14, 2020
Unfortunately, there seems to be quite a few errors in the course. The only skills that you can actually take away is how to use Apache Spark. The machine learning and evaluation metrics explained in this course are riddled with errors. When writing to the teachers the only thing they say is they are checking on it and will get back to you and never do. I usually really like the IBM courses but this one was by far the worst MOOC I have taken so far.
교육 기관: Gaby B T•
Apr 06, 2020
One of the worst courses I ever had.
1 - The whole thing seems rushed. A lot of mistakes!
2 - Confusing slides and exercises.
3 - Useless quizzes that provide no additional benefit to the learner.
4 - Uncompleted transcripts under the videos.
I do not recommend this course. Unfortunately, I have to complete it for a specialization, otherwise, I would have abandoned it.
교육 기관: Panagiotis P•
Apr 18, 2020
The course is definitely one of the worst i had in coursera. Many issues with the sound (week 1) which in combination with the very hard accent of the tutor becomes unbearable for the first 2 weeks at least. The concepts are not explained enough. If you really want to learn choose something else.
교육 기관: Pietro D•
Jan 03, 2020
The course is based on a previous version of IBM Watson platform that makes too many slides outdated. Too much time is dedicated to the definition and computation of basic statistical moments. The same information about Apache Spark is published on the project's website.
교육 기관: ANURAG G•
Apr 17, 2020
The course has been forcefully put inside the IBM AI Engineering Professional Course, and does not fit in. The course instructor fails to explain the details in an effective way. Overall this course is not designed to be a part of this specific specialization.
교육 기관: Nils N•
Mar 24, 2020
Maybe I do not have knowledge about Python, but a lot of things were not understandable for me. In addition, parts of the course are still shown in an older, out-of-fashion version of Watson. The shown code is not working in todays version
교육 기관: Claudio C•
Apr 27, 2020
The course should be reorganized. The video are taken from different courses and is not fluid follow it. There is very little in programming with functional programming. There are many concepts but not well explained. Not advided!
교육 기관: Juho H•
Apr 23, 2020
The course teaches important concepts and skills on how to scale your machine learning algorithms - but it is in a desperate need of an overhaul to fix the numerous errors in the videos and workbooks.
교육 기관: Esteban H E•
Jan 29, 2020
Not clear at all.
A lot of things are not explained, or explained in a confusing way. I learn more by researching what things meant than from lectures
교육 기관: Friscian V C•
Jul 07, 2020
I dont like the instructor very much. I feel like his explanations are not the best and everything was just too fast.
교육 기관: vikram s•
Jul 03, 2020
It's very difficult for a beginner (like me) to understand the whole science behind the concepts in Apache Spark
교육 기관: Suman k s•
May 17, 2020
Explanation not satisfactory and exercise also not so good.
too much issue in setup all these exercises.
교육 기관: Billy•
Jan 16, 2020
focus too much on practical skills than the balance of concepts and implementations
confusing to follow
교육 기관: Tamador A•
Jun 03, 2020
The course should give more in-depth assignments and also more explanation.
교육 기관: Harsh K•
Apr 12, 2020
There is a lot of audio problem and content is also not updated.
교육 기관: Branly L•
Feb 14, 2020
This course needs more spark towards the student.
교육 기관: Victor B•
Mar 22, 2020
Videos are not informative.
교육 기관: kexin•
Jan 01, 2020
A lot of errors in lecture.
교육 기관: Kirivitige A S F•
Apr 07, 2020
So many errors in the codes. Especially the ones the instructor is showing us in lecture (his files run on python 2.7 and i'm running on python 3.6- has not updated some programs to run on python 3.6 with spark 2.3). He doesn't specify which file at the beginning of the video, nor does he have a link to the sample code he is showing us, nor does he specify which file to insert a spark session and to where can we find that specific file in GitHub. It's a huge confusion for a person who has zero programming knowledge and It took me a lot of time to fix the errors in the codes to get back on the lecture. I am utterly disappointed with this section. Didn't have any issue with the last session of this course. I wasted a lot of time. I'm utterly disappointed with this course.
However I must appreciate his lecturing is excellent. I was able to fully understand the theoretical part he explained. I did however fail to quickly understand the programming aspect due to multiple errors in the code.
교육 기관: Alistair K•
Jun 04, 2020
In a word - Abysmal, the first indication of the quality of this course is the intro video which the lecturer filmed in his car!! Very unprofessional - he explains that he doesn't work from the office much, but surely he could put some effort in...
Things don't get better, a number of in-video quizzes simply offer 2 possible answers - "OK" and "OKOK", the majority of lectures are simply the lecturer typing code with little explanation.
And don't get me started on the quality of his code - possibly some of the messiest code I've ever seen, inconsistent style, massive blocks of empty lines....
If it wasn't for the fact I am doing the specialisation, then I wouldn't touch this course.
교육 기관: Samuel K•
Jan 20, 2020
This course has a lot of room for improvement (not to say plainly it's a waste of time). The video lectures are useless. They consist on the instructor coding some lines to show basic commands in Apache Spark. An introductory course on Apache Spark would be much more useful than this one. The basic stuff on regression and classification methods is really poor as well. The Quizzes and practice exercises only teach some basic Spark functionalities, which could be the only somewhat useful elements of the course. Avoid this unit if you can, I just took it because I enrolled in the AI Professional certificate on Data Engineering.
교육 기관: Suman S•
Apr 13, 2020
I don't even know, what I learned from the course. To me, its a waste of time because of the way it was arranged and presented, almost in a hurry. I am not confident in whatever, I learned from the course. I will look for a similar course to learn spark and would not recommend this course at all. I think people end up taking this course because it is included in the specialization. It is a horrible experience and complete waste of time and effort, if anyone takes my word.
교육 기관: Gopal I•
May 14, 2020
This was a poorly written course that did not explain much of the Spark fundamentals. It was really hard to understand the instructor's line of thought, added with bad instructions and poor resolution videos (tried changing video settings too). In addition although IBM Watson was supposed to be free somehow this ended up as a metered service (different from Course 1). Instructions again were not updated. This course needs a complete revamp.