Learner Reviews & Feedback for Python Project for Data Science by IBM
About the Course
Top reviews
LY
Feb 20, 2023
Lab works became more challenging and difficult throughout end of the course. Some tasks I've spent more than week just to find out the mistake. It is quite challenging yet fulfilling at the same time
DM
Feb 27, 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.
676 - 700 of 746 Reviews for Python Project for Data Science
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
By Emem A
•Feb 21, 2023
it was a very tough course. i have to do some more learning
By Nguyen A
•Aug 23, 2022
final project has bugs and errors when running the code
By Dhanesh T
•Jun 18, 2022
A good beginner hands-on experience for Data Science.
By Marcia M
•Feb 22, 2022
Students had a lot of problems with IBM Watson Studio
By Brian F
•Jul 17, 2023
redundant examples.. could broaden and learn more.
By Marco B
•May 8, 2022
Jupyter on Watson Studio is not working properly
By Carmen F
•Aug 1, 2022
I think we need more hands on lab practices.
By Elena E
•Feb 8, 2022
Informational, but too easy.
By Jason C
•Sep 12, 2021
Good practice project
By Daniele C N
•May 12, 2023
not very explanatory
By Rafael P S
•Nov 4, 2021
Nice but very basic.
By Tran N
•Feb 4, 2024
Too hard to follow
By greg i
•Jul 23, 2021
Encouraging
By Michael G
•Apr 25, 2022
good
By Frank H
•Jul 28, 2023
This course has too many issues:
The assignment rates items that are vague: If the quarterly data is demanded, then it should be spelled out and not just "the revenues"! To grade on this is ridiculous!
I was not able to see any links in the reviewed assignments - but I am starting to suspect I cannot see the Watson links! I could not get a Watson account, as the creation failed repeatedly despite me trying to troubleshoot it!
The used python version is old. Methods such as .append() are deprecated now! Also, who uses that python version locally? I would need a new env just for the course...
Some installs or imports gave warnings and failures, for example, for not using the version the employed jupyter version was expecting.
I got full marks despite some misunderstandings due to the vague new(!) text, because the people apparently seriously had enough. I am angry and embarassed that I deducted points in my reviews, as I followed the stupid guidelines! Do note that the new assignment version has new and vague texts. I lost all my previous work when it was updated too. Since it was some time I did it, I could not remmeber the quarterly shennenigans, for example. Kindly do not ask me to repeat this stupid assignment by changing the tables to quarterly, this is utterly repetitive. At least the weird tip to take the [1] (second) table now makes sense again. I marked it as an error in my notebook, as the yearly was demanded by my understanding of the text!
The exam should have been a new problem with at least some slight variations. It should be clearly spelled out what is expected.
By Gabriele P
•Aug 24, 2023
I don’t Understand why this is a standalone course instead to be a part of the course on python for data science, most contents are in common and here they are just repeated.
Main lab (used for final assignment) is too easy and guided, most questions say also how to do easier tasks (e.g., get first/last rows of a dataframe), thus it is not challenging.
At the end of the lab I was expecting a discussion and explanation about the meaning of downloaded and plotted data. As said before, explanation is an important part of the data science methodology.
By Heath B
•May 23, 2023
Outdated code that doesn't work properly in watson studio required for the final project. The function they wrote and want you to use to make a graph is unusable. This means that after completing the project on watson studio you have to go in, transfer the project to your local machine, and run the code there. They need to retest their course material in their chosen platforms. There's no reason that it should not work in IBM Watson Studio as this course is being taught by people from IBM.
By Chris M
•Oct 4, 2022
Could really use more than a few examples for different parts of the project. A couple of examples of where the graph was used would have also helped. I think at least one extra week of prep for the project with a couple of examples would have helped greatly. Also, I am new to this type of coding I know a little html and php but for me it would help to not only see single lines of code but a full page of code to see how it would run or execute all together.