Opiniones y comentarios de aprendices correspondientes a Python Project for Data Science por parte de Habilidades en redes de IBM
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Principales reseñas
DM
27 de feb. de 2022
Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.
Great material that can defintely be applied to work experiences.
VV
17 de ago. de 2021
It was an awesome and very hard experience. I struggled a lot with the final assignments, which led to me learning a lot of new things and learning them good. I am giving this project/course 10/10.
376 - 400 de 432 revisiones para Python Project for Data Science
por Lucian P
•13 de dic. de 2021
A big problem with the mandatory work environment on IBM Cloud platform.
por Angela W
•7 de jun. de 2022
For such a short course there was alot of information to get through.
por Krishanu P
•1 de jun. de 2021
I learnt about web scrapping but this course could be much better.
por Swathy K P
•26 de nov. de 2021
Labs and Assignments are extremely confusing but very informative
por Dhanesh T
•18 de jun. de 2022
A good beginner hands-on experience for Data Science.
por Marcia M
•22 de feb. de 2022
Students had a lot of problems with IBM Watson Studio
por Marco B
•8 de may. de 2022
Jupyter on Watson Studio is not working properly
por florencia v
•1 de ago. de 2022
I think we need more hands on lab practices.
por Elena E
•8 de feb. de 2022
Informational, but too easy.
por Jason C
•12 de sep. de 2021
Good practice project
por Ousseni O
•7 de jul. de 2022
Mais le resultat trop
por Rafael P S
•4 de nov. de 2021
Nice but very basic.
por greg i
•23 de jul. de 2021
Encouraging
por Omni K
•25 de abr. de 2022
good
por Osman B
•3 de mar. de 2022
You have to review someone's submission to finish the course. The thing is, if there is no submission available for you, you have to wait! You can not finish the class without it! Ridiculous! I waited for a while. But everytime I check, it says same thing: ''There is no submission for you to review right now. Please come back later'' You gotta be kidding me seriously!
por Marta K
•19 de feb. de 2022
One can learn interesting things but the final assignment is a disaster - it is very difficult to sign in to watson studio, one need 1 hour to find a way to do it. Apart from that later for peer review screen shots are needed which on small laptop are nto easy to do. Reviewing others work is also difficult as the photos are reallz small.
por Montserrat C
•18 de abr. de 2021
Final assignments involve matters that have not been seen during the course. Course should have more explanations, both video and text, and then more practice in order to settle what you have seen. It's not at all a beginners course; perhaps it could be for the matter but not for the explanations.
por Fernando M M E
•5 de sep. de 2021
I think it isn't a good beginner course for Python. There are some things that are not explained and other that are not well explained. However, if you are following the data science learning path, I recommend you do it so you can pass to the next one.
por Stu B
•10 de jul. de 2022
Probably the weakest course I have taken on the platform. Very frustrating.
Increasing from one to two stars because of helpful comments in the discussion boards that finally enabled me to complete the assignment.
por Armeen A
•2 de mar. de 2021
A lot of issues with this course. New information wasn't explained in detail and I was left with a lot of questions. Last assignment had a lot of issues.
por Welamaza A M
•13 de jul. de 2022
Kept having issues with Kernal in IBM and geting locked out off some of the servers I needed ot access.
por Alexey E
•17 de mar. de 2022
Spoonfeeding results. It's not a project, you just have to answer 6 questions...
por Leonard D
•2 de ago. de 2022
Good content, but the exercises can hardly be performed due to technical issues.
por Juan D P M
•17 de mar. de 2022
Should be a lab or a section in the previuos course.
por Miralireza N
•1 de dic. de 2021
Not a fan of Using Watson Studio.
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