Avis et commentaires pour d'étudiants pour Fundamentals of Scalable Data Science par Réseau de compétences IBM
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Meilleurs avis
ZS
13 janv. 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 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
426 - 450 sur 450 Avis pour Fundamentals of Scalable Data Science
par Paulo R C D S
•4 mai 2020
Very basic and Spark exercises are too easy to learn useful skills
par Yew C L
•15 oct. 2020
Not really fundamental. Beginner will have difficulty to learn.
par Nima
•4 juin 2020
Big data materials are less discussed specially coding sections
par RAHUL C
•21 août 2020
The course feels old now. Not much interactive.
par Hossein A
•17 juin 2020
Very good topics very not very good instructors
par Smriti C
•8 juin 2020
Not a recommended course
par Darragh K
•30 mai 2022
The whole course seems to be mainly an advertisment for IBM Watson Studio. However, there are caveats in using the IBM service: Firstly, the instructions given in the course are outdated, and setting up the environment is quite cumbersome. Secondly, the free IBM cloud lite licence allows the usage of 10 Capacity Unit Hours (CUHs) per month. However, the environment that can be used for this course uses 1.5 Capacity Unit Hours (CUH) per hour. This is just not enough to provide a proper learning environment. All in all I found this course to be a bit of an embarrassement for IBM.
par Georgia C
•1 sept. 2021
An introduction into incredibly basic data science concepts and the assignments are very simple. Would like a more in depth coverage of Apache Spark, including how to use it outside of the Watson Studio set up. I found the material on parallel computing quite complex and hard to follow. Some material has been removed from the course which makes the videos in week 2 seem a bit incongruous.
par Felipe M
•18 sept. 2019
Videos are old. It feels like he had a bunch of material and put them together to create this course. For example: There are assignments that they give you the answer because the questions are not supposed to be there. He doesnt teach, instead, he reads a script. The assignments are not challenging and you dont feel like you learned. Horrible and painful.
par Gerardo M
•10 juin 2020
A lot of the code explained in the video doesn't work with Python 3. The course is missing real examples with updated code working with the latest versions. If I have to go on the internet to learn how to pass each programming assignment of this course because the videos are outdated then I can do this for free, no need to pay the 40 euros/month. Thanks
par Polina B
•20 févr. 2022
The course does not correspond to the name "Advanced" Data Science at all. Instead of watching the videos about what mean and standard deviation are, I expected to get a more structured and detail view on what Spark is and how it works. Also, there are some typos and mistakes and creators do not put much effort on keeping the materials up to date.
par Oriol-Boris M F
•12 oct. 2022
The content is out of date, the IBM webpage has changed and it is impossible to follow the instructions, many link don't work anymore. Plus it ask you to use an environment that you are suposed to create in the video 5 but that video does not exist, what a mess
par Deleted A
•12 nov. 2020
Course materials is not up to the with the latest state of the IBM Cloud environment. IBM Cloud environment is super buggy. Need to transform this training to make the user use its own environment and not push the IBM Cloud infrastructure.
par James N
•1 août 2022
Covers about 30 seconds worth of actual content. If you know anything about Python/stat, this course doesn't give you anything about *scalable* with exception to a super high level presentation of the idea behind Spark.
par Bin W
•8 mars 2022
The IBM cloud is constantly changing but the taching materials are always out dated, on Discussion Forum, they either don't reply to my question more than 2 months, or gave me technically correct but useless answers.
par Vladyslav M
•5 juil. 2020
не можу зареєструватись за посиланням https://dataplatform.cloud.ibm.com/, будь ласка, перевіряйте справність всіх ресурсів перед тим, як публікувати курс. дойшов до практичного заняття і не зміг зареєструватись.
par ashwani b
•4 avr. 2020
Structure and flow is the reason people pursue online courses then studying from any random youtube video tutorials. This course lacks those basic properties. Major concern was to promote IBM cloud than to teach.
par GARG M
•27 oct. 2021
Well I have taken several courses on coursera and their explaination was pretty good but in this course explaination was not up to the mark , very disappointed.
par Ahmet Y
•17 mars 2020
After the IBM Data Science Proffesional Specialization this course was very inadequate. Lambda calculus is not explained well.
par Mike H
•1 janv. 2020
Not well structured in my opinion. Difficulty of content not well balanced. Outdated presentations and content...
par Goce Z
•19 mai 2020
easier to just make it labs and some reading as all the videos are just watching the instructor type code
par Kaustav S
•14 mai 2020
Not a course relevant to data science, what needed in the market perspective
par W L
•20 sept. 2020
course material is inconsistent and not well prepared.
par Sergei B
•26 août 2020
To easy to be advanced ML course.
par jack g
•29 avr. 2021
content needs updating.
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