May 06, 2020
Its a great experience especially with this course. I appreciate Romeo the way he designed the assignments. It brings out the clear understanding.
Sep 10, 2017
A perfect course to pace off with exploration towards sensor-data analytics using Apache Spark and python libraries.\n\nKudos man.
Apr 14, 2017
Nice Course. Going straight forward to the manipulations using spark, and giving a great overview on how to deal with IoT data in the Cloudant NOSQL platform. Would hope to see a new course where we can use MLLIB with massive IoT data to showcase the power of parallel programming!
por Sunil M•
Apr 17, 2017
I wish this was more extensive /detailed course and assignments little bit more complex. The moderator timely response was greatly lacking. If the course instructor is asking the students to try out RDD while the auto-grader depends on SQL, it should have been clarified.
por Hoàng M T•
May 01, 2020
Nice course. Inform the basic concepts of statistics.
Some of the code is not consistent (E.g. the week 4 assignment I have to remove the parameter of getListForHistogramAndBoxPlot() and getListsForRunChart() in submit cell in order to successfully submit).
por Dushyant R T•
Jun 15, 2020
The course was designed some years ago and now it needs some update considering the technology has changed a bit. Even after all of that, the teachers are really good and they provide high-quality education. Really glad I could be part of this course.
por Satyam K•
Nov 20, 2018
This course gives you nice experience with Apache Spark. There is lot of update going on interface which creates few problem but discussion forum helps you out. Good for beginners in Data Science who have basic knowledge of python and SQL.
por Christian M•
Jun 20, 2019
It's an excellent course for anybody who wants to learn the basic of Spark, Watson Studio, and data analysis. It's also a good reminder for anybody well acquainted to the subject and want to know how to deal with it in Watson Studio
por Udbhav S P•
Apr 11, 2020
there were two errors i noticed if you could correct them - check the last assignment in the grading system it has parameters given which are not required and the last quiz there is a ques about PCA pls correct the options
por Xiang Y N•
Apr 10, 2019
I was just wondering, is the content a bit short? Are there any more details on practising writing functions and text rather than an hour videoing and quiz? I believe intense programming skills practise is more efficient
por Dipro M•
Jul 18, 2019
Nice for a basic introduction. I really got to know a lot about the basics of 'data' and spark applications. However, the exercises and assignments seemed a bit too simple. Also could do with a few more extra readings.
por Víctor M P•
Apr 30, 2020
El curso es una introducción muy básica, lo más interesante son los ejercicios opcionales como el de node-red. Me esperaba que se aplicaran buenas prácticas en los ejercicios, pero como introducción está bien.
por Marcos P L•
Dec 08, 2019
As an introductory course on data science and manipulation of large data sets, the course proved to be quite comprehensive and technically capable of leading the student to an understanding of all content.
por Amy P•
Aug 28, 2019
I learned a lot from this introduction and appreciated the amount of coding that the lecturer did during many of the videos. Would have liked more involved programming challenges at the end of each week.
por Jan D•
Mar 19, 2017
Good course with a good Instructor. It's a real basic course and good for beginners, though you need to have to dive into Python and Spark on your own to follow the course and the assignments. :)
por ADEJOKUN A•
Jun 24, 2020
Great Introductory course for Big Data Analytics. The exercises and the assignments had the appropriate level of difficulty considering this was an advanced course. Thank you IBM and Coursera.
por Pranav N•
Aug 28, 2019
Deserves 5 Star if the contents are updated such as removing redundant codes in Video lectures, upgrading Python and Spark to latest version etc. Overall a great place to start Scalable DS.
por Daniel D S P•
Jun 07, 2020
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.
por Bruno N•
Sep 03, 2018
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.
por Quazi M T M•
Jul 05, 2020
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.
por Gouri K•
Nov 12, 2019
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
por Ivan J M•
Nov 02, 2019
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.
por Gerardo E G G•
Jun 26, 2020
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!
por Mohammad M A•
May 10, 2020
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...
por Lucas M B•
Dec 03, 2019
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.
por Eric J•
Feb 10, 2017
Really good course to provide an overview of working within IBM's cloud platform offerings. This course provides the basics of ApacheSpark as well.
por Umer A B•
Mar 18, 2017
The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.