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: Emmanuel H•
Jun 22, 2020
I would like to thank Romeo for teaching me. I apologize to rate the course at 3/5. I did like the course in general but I missed the practice of it. The methodology process did not help me to learn the practice. I scored better in most quizes on the first attempting while I could not guess how the code are written. I wish I did learn to interpret or rewriting the code
교육 기관: Ravi P B•
May 12, 2020
Its a nice course and good way to start Apache Spark.But I feel its a bit too fast as well as too high level for those who are pure machine learner and deep learner practitioners on jupyters and colabs,they are gonna find it bit tough and programming part will go over the head.So Goodluck.
But its a nice way to start learning a fascinating technology of Apache Spark.
교육 기관: Ahmed G•
Mar 14, 2020
The material presented in the course is important for everyone looking to go into the Data Science or Machine Learning fields, but some of the examples in the earlier chapters use Python 2 and have not been updated to Python 3. The learner has to go hunting themselves in the forums for official posts on how to fix these error (they were there).
교육 기관: Artak K•
Jun 27, 2020
Although this course introduced us to the very important idea: distributed and parallel processing, but I find it too broad and too high level. We didnt go deep into any of the topics, and the assignments are to easy(some of them are already done, you just have to find the correct number for the outputs and place it in quiz section)
교육 기관: Lucas I S•
Dec 20, 2019
Like the format of this course, which seems more laid back. Having said that, some of the assignments had some confusing portion, but need to acknowledge this is an intermediate course and not a beginner one. I also missed the part of the explanation that Apache Spark has its own tools vs. using Python's SciKit
교육 기관: Avashen P•
Apr 05, 2020
Great course. There should probably be more coding tests where submissions get you a grade like some of the other Coursera coding courses.
Some of the coding in the lectures is a bit too quick, but that's probably just for because I have never used the Apache Spark syntax before.
교육 기관: Dhaivat H P•
Apr 21, 2020
Very good teaching techniques, The professor explained everything well, The sound quality was dull on 2nd week's video and the accent was a bit tricky for me but the quizzes were good and if you code with him you'll be able to understand the concepts easily
교육 기관: Sourab M•
Apr 06, 2020
It is a good course for beginners in the domain of Apache Spark and Apache Spark ML. Programming assignments could have been better if they were applied to "Big Data" and not on toy datasets.
교육 기관: Miele W•
Jan 02, 2020
Again a nice course that introduce you on Apache Spark Usage. Just a little suggestion, if you could insert a little tweak on how pass from spark to pandas and vice versa.
교육 기관: Giorgio G•
May 20, 2020
Great tutorial overall.
Room for improvement: Fix the differences int the definition of kurtosis and skew between vide, test, examples (preferable the scipy definition).
교육 기관: Zaheer U R•
Jun 01, 2020
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.
교육 기관: leonardo d•
Feb 24, 2020
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.
교육 기관: Julien P•
Jun 09, 2020
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.
교육 기관: Chokdee S•
May 04, 2020
Learning material is pretty good for getting started with Apache SparkML. Everyone who leaps into Scalable Machine Learning this is one of your choice
교육 기관: Brandon S C•
Feb 18, 2020
I found this course incredibly beneficial. Moving forward, I would like to see a bit more explanation of concepts and few extra workable examples.
교육 기관: Stefan W•
Jan 22, 2020
Course was nice and avoided peer-graded assignments (which I appreciate) but code was written in Python 2 which led to un-maintained code.
교육 기관: Itamar A T•
Mar 28, 2020
I found difficult to understand the concepts, for sure I must have to review the class.
Thanks for the dedication in helping us.
교육 기관: shashank s•
Feb 23, 2020
for the last assignment we should have got the opportunity to code in the notebook instead of just running it and reporting results.
교육 기관: Sarath C G K•
Apr 16, 2020
He has good knowledge. Though his language is ok , He covered very important topics in very short span of time with high quality
교육 기관: Alaso L K•
Apr 04, 2020
Nice course with real details and opportunities to practice. We just need some more private study to cement skills learnt.
교육 기관: Shanmukha S S Y•
Apr 12, 2020
I felt the week 3 and 4 were rushed a bit. But everything else was well done. It was like a well defined "pipeline" : )
교육 기관: Stephane A•
May 01, 2020
Nice course. I really understand big data and how to manipulate data in data centers. I can use better Apache Spark.
교육 기관: Paruhang K•
Feb 02, 2020
Explanations could be a little more detailed. Felt like I was missing chunks of information while watching videos.
교육 기관: yan l•
Jun 18, 2020
very systematic way to learn ApacheSpark (esp pyspark). It would be helpful to include more hands on excercise
교육 기관: Daxkumar J•
Feb 21, 2020
This course gives you a basic idea behind the pyspark. If you are a beginner so this course for you.