21 juil. 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
19 juin 2021
Great Course but this would have been even a better course if more concepts and details were covered in it. Anyways, still a great course for beginners
par Amy P•
28 août 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.
par William Y•
5 mai 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.
par Jan D•
19 mars 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. :)
par ADEJOKUN A•
24 juin 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.
par Pranav N•
27 août 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.
par Daniel D S P•
7 juin 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.
par Bruno N•
3 sept. 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.
par Luca P•
13 sept. 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.
par Quazi M T M•
5 juil. 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.
par Nora I•
19 nov. 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!
par Gouri K•
12 nov. 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
par Ivan J M•
2 nov. 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.
par Hassna E•
17 avr. 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
par Gerardo E G G•
26 juin 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!
par Muzamal A•
10 mai 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...
par Lucas M B•
2 déc. 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.
par Parth G•
4 oct. 2020
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.
par Eric J•
9 févr. 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.
par Thomas M•
12 sept. 2020
Pretty fun introduction, assignments were moslty copy-paste from instruction videos, so you don't get to 'learn' the right way in my opinion
par Kevin A H L•
30 juil. 2020
I taught the course would be more advanced. Terminology is confusing at first, but besides that, the assignments aren't so challenging.
par Umer A B•
18 mars 2017
The Grader template in the beginning is very confusing when doing first assignment. The response from Instructor should be quick.
par Mortaja A•
4 janv. 2019
structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.
par Tamer M•
24 sept. 2019
Most of the video's subtitles need to be synced, it was hard to fully understand the Indian accent without subtitles.
par Jaydeep K R•
23 juin 2020
It was a good overview of the large scale data but I would be more interesting if they had provided more Practice.
par Norman F•
13 janv. 2019
Some errors like lambdas are not working anymore with Python, some typos like in Assignment 4.1 and missing steps.