SK
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Best course so far, under the IBM Data Science professional certificate program. It is heavy on the practical side, which is a good thing as it gives the person a more hands-on experience.
GW
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Material Covered was very good and meaningful in developing knowledge and skills. Unfortunately a significant amount of time was required accessing the tools to complete the work.
By Kshanti G
•Jul 11, 2022
This course was more copy and pasting code and didn't really allow us apply any learned skills. Calling the course a "project" is a stretch.
By Brian M
•Nov 13, 2022
There were typos and errors in many of the lessons. On the 'build a dashboard' it is set to import an older version that is incompatible.
By Katy
•Jun 15, 2021
I wouldn't call this course a "Python project"... it's more of a lab with exercises about the previous course ("Python for Data Science")
By Ali V
•Sep 8, 2023
not too much easy but not hard... You need to find out the exact level of the content if it is an advanced concept or a simple one.
By Mick H
•Jan 9, 2023
This course has a some bugs in it. I was clean up code a lot during this course. Overall it is a good course. I like the the labs.
By Hela M K
•Dec 29, 2023
This course is not as good as the ones : the videos are not very explanatory... It took me a long time to figure out some stuff
By Ege D
•Dec 28, 2023
Some of the information provided to help correct peers' final assignments are outdated. Clunky visual support in my opinion
By Chakib B
•Jun 30, 2022
very interesting course but lack of details. May be better to add more explanations on some parts of the course
By Phetole R
•Jul 24, 2023
The course was great, however I do not think that the material was enough to prepare me for the final project.
By Jon G
•Apr 19, 2021
I thought one of the questions required a skill that was not covered in the labs. Rest was pretty good.
By Nelda A
•Mar 13, 2024
Peer grade is once again not correct and must attempt again and grade other peers to get a new grade.
By Priyabrata M
•Oct 29, 2022
need more informative.. especially like some video clips.. which will be easy to learn
By David C
•Mar 9, 2022
good overall but the dependency on IBM cloud is time-consuming and of little value-add.
By Stéphan D
•Feb 23, 2022
Some technical problems on IBM plateforms and some part of the course are not updated.
By Konrad L
•Nov 4, 2022
Some features in the final project werent working properly (make_graph). Please fix it
By Xinrang S
•Aug 8, 2021
It's more suitable for learners who have background in Python but not new learners.
By Sara J H
•Nov 9, 2022
Challenging for someone at the beginner level. Had to google a lot to succeed.
By Rainer A
•Jul 3, 2024
so far so good; unfortunately some of the content is sometimes misleading;
By Lucian P
•Dec 13, 2021
A big problem with the mandatory work environment on IBM Cloud platform.
By Angela W
•Jun 7, 2022
For such a short course there was alot of information to get through.
By Anwar R
•Jun 15, 2023
You should add more projects and easy medium and complex task to do
By Tom F
•Feb 23, 2023
Very good introduction to the methodology, difficulties with Watson
By Rafael M S
•Nov 18, 2022
The Final Assignment has several errors when you execute the code.
By Krishanu P
•Jun 1, 2021
I learnt about web scrapping but this course could be much better.
By Swathy K P
•Nov 26, 2021
Labs and Assignments are extremely confusing but very informative