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 Ihsandi D•
Depending on the student, this can either be an easy or a difficult course. Some parts needs update, and it would be great if there are more explanation on the algorithms.
par Robert v d V•
Nice introduction to Big Data processing, No coding skill required. A little more focus on the theory would be nice as the Python coding exercises are a little redundant.
par Giorgio G•
Great tutorial overall.
Room for improvement: Fix the differences int the definition of kurtosis and skew between vide, test, examples (preferable the scipy definition).
par Zaheer U R•
It was a very interesting and skillful course. Thanks to IBM and Coursera for such a wonderful course. Special thanks to Mr. Romeo Kienzer for explaining it so well.
par leonardo d•
There are some issues with the normalization of the distribution moments. Everything else is good material to learn how to use apache-spark for the first time.
par Julien P•
Great notebooks. But the videos are getting old and are a bit obsolete compared to the contents in notebooks. I would have also appreciated more theory.
par Chokdee S•
Learning material is pretty good for getting started with Apache SparkML. Everyone who leaps into Scalable Machine Learning this is one of your choice
par Brandon C•
I found this course incredibly beneficial. Moving forward, I would like to see a bit more explanation of concepts and few extra workable examples.
par Stefan W•
Course was nice and avoided peer-graded assignments (which I appreciate) but code was written in Python 2 which led to un-maintained code.
par Shahtab A K•
In some videos, it shows one thing in the video and then there is a prompt to follow another one. It gets a little bit confusing there.
par Itamar A T•
I found difficult to understand the concepts, for sure I must have to review the class.
Thanks for the dedication in helping us.
par Shashank S•
for the last assignment we should have got the opportunity to code in the notebook instead of just running it and reporting results.
par Sarath C G K•
He has good knowledge. Though his language is ok , He covered very important topics in very short span of time with high quality
par Lawrence K•
Nice course with real details and opportunities to practice. We just need some more private study to cement skills learnt.
par shanmukha y•
I felt the week 3 and 4 were rushed a bit. But everything else was well done. It was like a well defined "pipeline" : )
par Stephane A•
Nice course. I really understand big data and how to manipulate data in data centers. I can use better Apache Spark.
par No O•
Explanations could be a little more detailed. Felt like I was missing chunks of information while watching videos.
par yan l•
very systematic way to learn ApacheSpark (esp pyspark). It would be helpful to include more hands on excercise
par Daxkumar J•
This course gives you a basic idea behind the pyspark. If you are a beginner so this course for you.
par JOSE J M C•
Instructor pronunciation is not the best for someone who are not usually listening explain so fast.
par Jochen G•
Cool course with a slow paced start and then interesting examples to work with Apache Spark ML.
par YASH K•
Overall its an excellent course but I think more programing exercise should be there.
par Hayagreev S•
Good Course! Was able to understand the complex python involved! Nice examples.
par Heetanshu R•
The professor's English is just hard to understand but otherwise it is good!
par HoangVan N•
This course is very good for me but there is a video not watch in Week 3