ZS
Jan 13, 2021
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.
EH
Jul 21, 2021
Nice course. Learned the basics of a lot of different topics. Nice to do a large Data Science project in the last part. So you can apply all learned theory
By Victor W
•Oct 31, 2020
Good course. However, there are a lot of silly mistakes in the videos, which is solved by "cloud text boxes". Does not look professional, rather re-record the videos. The videos are sometimes also pixelated. This could be improved significantly
By 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.
By 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
By Udbhav 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
By 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
By 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.
By 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.
By Marcos L
•Dec 8, 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.
By 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.
By Anand V S C
•Sep 25, 2023
Good course but exercises can be more engaging. Also make the IBM environment easier to follow. In my course duration, the data cloud of IBM had completely changed from what was mentioned in the course
By William Y
•May 5, 2021
I wish the course offers more information on SparkContext and SparkConf, setMaster, wget, etc; In other word, how data is being passed around, and what component is responsible for what tasks, etc.
By 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. :)
By 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.
By Pranav N
•Aug 27, 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.
By Daniel D S P
•Jun 7, 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.
By Bruno N
•Sep 3, 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.
By Luca P
•Sep 13, 2021
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
•Jul 5, 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.
By Keshav S
•Oct 22, 2023
Great course but some things might be improved. For example, the code to start spark session does not work, I had to find alternative on internet (It took quite time).
By Nora S I
•Nov 19, 2020
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
•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
By Ivan J M
•Nov 2, 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.
By Hassna E
•Apr 17, 2022
The course is good and informative, but needs more frequent updates as data science world evolves quickly and some of the guidlines provided are outdated
By Gerardo E G G
•Jun 26, 2020
Great Course!
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
•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...