Opiniones y comentarios de aprendices correspondientes a Fundamentals of Scalable Data Science por parte de Habilidades en redes de IBM
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Principales reseñas
ZS
13 de ene. de 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
21 de jul. de 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
301 - 325 de 450 revisiones para Fundamentals of Scalable Data Science
por Mortaja A
•4 de ene. de 2019
structure and instruction to setup of ibm clound and ibm watson needs improvement. overall good instructions and flow.
por Tamer M
•24 de sep. de 2019
Most of the video's subtitles need to be synced, it was hard to fully understand the Indian accent without subtitles.
por Jaydeep K R
•23 de jun. de 2020
It was a good overview of the large scale data but I would be more interesting if they had provided more Practice.
por Norman F
•13 de ene. de 2019
Some errors like lambdas are not working anymore with Python, some typos like in Assignment 4.1 and missing steps.
por matthew w
•15 de mar. de 2021
Content (videos and quizzes were great). I would have preferred the coding assignments to be more challenging.
por Jithil S
•5 de jul. de 2020
A pretty good starter course for apache spark although the software version used in this course is outdated .
por Nicolas G J
•8 de abr. de 2021
The explanations sometimes are not clear, but with some readings and searching the projects can be resolved.
por Ricardo L
•5 de jun. de 2020
The content is good, very easy to pass. But too basic. You almost no learn anything about spark dataframes.
por Vinayaka S
•21 de ene. de 2021
Assignments need proper instructions. Also audio quality of lesson is not proper. Everything else is nice.
por Rodrigo V G
•23 de ago. de 2020
A very general review of Spark, Statistics and Data Visualization. Some great insights were given, tough
por Anand G
•14 de jun. de 2020
A good introduction to the steps to be taken to handle huge data sets. Surely would recommend to others.
por Braian G
•24 de dic. de 2020
I liked the course but it has some errors in the code, related to Python2 -> Python3. Good material!
por Zeynep İ
•19 de may. de 2020
The course is perfect for beginners but some videos are old. They should be revised. Thank you :)
por Jeet K P
•5 de ago. de 2021
Maybe the course video should be changed properly. It will help student to understand properly
por Jeffrey G D
•7 de ene. de 2020
Some of the courses have out of date instructions, or the methods recommended are deprecated.
por Prithvi M
•15 de mar. de 2018
Good! Would have liked it even more if there was more data analysis involved using IOT data.
por irfanh
•14 de may. de 2020
The course lesson is easy enough to be learned, but I expect to learn more from this course
por Tim B H
•2 de ene. de 2021
Nice course on PySpark and Data Science. I rate it 4 Stars as some details were missing.
por Cosme B M R
•1 de may. de 2020
The topics are difficult but the course is very good and the teacher is well qualified.
por Mark B
•17 de abr. de 2020
Hard to follow at times... was able to get a lot of assistance in discussion forums
por shubham b
•5 de ene. de 2021
Nice introduction to the differences between "normal and scaleable" data science
por bahadır y
•16 de ago. de 2019
At first, I'm not sure what to do and it is hard for me to set up environment.
por deepshikhar
•26 de sep. de 2018
The last quiz needs to be reviewed, otherwise awesome start to specialization
por Eugene N
•12 de may. de 2020
I actually loved this course because it helped augment my spark basic skills
por Revalino J C S
•4 de ene. de 2019
The environment setup is a little cumbersome due to constant changes in UI.
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