The contents of this course are really practical and to the point. The examples and notebooks are also up to date and are very useful. i really recommend this course if you want to start with Spark.
It's good but it really requires someone who knows and even master Spark Apache(+SQL fundamentals) so that you can follow and understand and take advantage of the course
By Daniel D S P•
La semana 2 es un ladrillo, se explican los temas de ingeniería para el procesamiento masivo de datos, pero la explicación no es muy pedagógica que digamos. Por lo demás estuvo muy bien.
By Bruno N•
Very good course for a hands on overview introduction to the topic, and the associated tools (particularly Apache PiSpark).
Some issues with the auto grader encountered sometimes.
By Luca P•
Very clear explanations. Tests not too difficult. Sometime too easy for an "advance" course. I liked it and I am looking forward to learn in the next sections of the program.
By QUAZI M T M•
There should be some links that are helpful towards this course, as it is an intermediate course, what courses are available in Coursera prior to this as a beginner lesson.
By Nora I•
The difference between rdd, dataframe and sql.spark could be more clear in the practical sense. But all in all excellent course. A boost in my Data Scientist profile!
By Gouri K•
Good overall,instructor was very good,but I feel more examples could be used especially when explaining multidimensional vector space and such basics of graphs
By Ivan J M•
There are a lot of not updated sections, sometimes it confuses me because in some videos he talks about how we will use Node RED but then we don't use it.
By Gerardo E G G•
I would like to suggest to update the videos in order to reflect the operations in Python 3.x rather than 2.x but everything else was great!
By Muzamal A•
Romeo is a great instructor and I love his lectures, however some of the quiz questions are very trivial and aren't explained on his video tutorials...
By Lucas M B•
Seria ótimo se atualizassem o conteúdo do vídeo para reproduzir a versão atual do sistema e do Python, porém em teoria o conteúdo não deixou a desejar.
By Parth G•
A bit on the easy side especially if you are proficient with SQL. But otherwise a decent into to spark and nice flavour of data analysis with python.
By Eric J•
Really good course to provide an overview of working within IBM's cloud platform offerings. This course provides the basics of ApacheSpark as well.
By Thomas M•
Pretty fun introduction, assignments were moslty copy-paste from instruction videos, so you don't get to 'learn' the right way in my opinion
By Kevin A H L•
I taught the course would be more advanced. Terminology is confusing at first, but besides that, the assignments aren't so challenging.
By Umer A B•
The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.
By Mortaja A•
structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.
By Tamer M•
Most of the video's subtitles need to be synced, it was hard to fully understand the Indian accent without subtitles.
By Jaydeep K R•
It was a good overview of the large scale data but I would be more interesting if they had provided more Practice.
By Norman F•
Some errors like lambdas are not working anymore with Python, some typos like in Assignment 4.1 and missing steps.
By matthew w•
Content (videos and quizzes were great). I would have preferred the coding assignments to be more challenging.
By Jithil S•
A pretty good starter course for apache spark although the software version used in this course is outdated .
By Nicolas G J•
The explanations sometimes are not clear, but with some readings and searching the projects can be resolved.
By Ricardo L•
The content is good, very easy to pass. But too basic. You almost no learn anything about spark dataframes.
By Vinayaka S•
Assignments need proper instructions. Also audio quality of lesson is not proper. Everything else is nice.
By Rodrigo V G•
A very general review of Spark, Statistics and Data Visualization. Some great insights were given, tough