DM
27 февр. 2022 г.
Had a few issues with my IBM Cloud account and adding the Jupyter notebook but the help\response was great so was resolved quickly.\n\nGreat material that can defintely be applied to work experiences.
VV
17 авг. 2021 г.
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.
автор: Md H R
•29 янв. 2022 г.
Excellent
автор: Hector j M a
•28 янв. 2022 г.
excelente
автор: Maria G S R
•29 нояб. 2021 г.
Muy bueno
автор: Enrique E D l H L
•14 окт. 2021 г.
Muy bueno
автор: BISWADIP R
•26 апр. 2022 г.
AWESOME
автор: Donatus N T A
•23 июня 2021 г.
Amazing
автор: Jessenia G
•23 апр. 2022 г.
genial
автор: Pankaj -
•26 июня 2021 г.
Superb
автор: Samy H
•22 мая 2022 г.
Great
автор: Abdul R
•3 сент. 2021 г.
greet
автор: Agus T W
•1 июля 2021 г.
great
автор: Santosh S H
•26 апр. 2022 г.
Good
автор: Palle G (
•24 апр. 2022 г.
GOOD
автор: Shreehari M
•9 сент. 2021 г.
good
автор: PAILA P R
•16 мая 2021 г.
cool
автор: Dibyansu k D
•7 мая 2022 г.
op
автор: Deleted A
•6 янв. 2022 г.
автор: Vu C T
•1 сент. 2021 г.
автор: Isaiah K
•5 мар. 2021 г.
There are parts of the final assignment that were frustrating because they required skills that were not thoroughly covered in the course material, so I ended up having to turn to other resources and look through documentation for pandas and beautifulsoup to find what I needed. This extra challenge made it more rewarding when I finally did figure out how to complete the tasks, though, and the process felt more analogous to how a data scientist would operate. Overall, I would recommend this class since it does provide helpful skills.
автор: KITTIN T
•16 апр. 2022 г.
As part of IBM data science specialization,it is good so far. Instead of project,it is an exercise with a little challenge the disadventage in this course are:
1.IBM cloud is limit to 30 days if you enroll specialization it not enough
2.It different when you use your local Jupyterlab and Skill learn (IBM) Jupyterlab in the course
3.It not a perfect instruction and take time to search some solution on internet even if you learn previous course.LOL
автор: Juha P
•7 янв. 2022 г.
The course gives a nice overview of Python, Pandas and Numpy libraries. It does not give a complete overview on what the libraries contain or are designed for, but it introduces selected examples and programming tasks that utilize the library functions. Programming tasks are done on Jupyter Notebooks, partially in IBM Cloud. There are some broken links in the course material, but it works.
автор: Hugo R
•8 мая 2022 г.
A good course overall that assumes you have a fairly good understanding of Python and Pandas. I wish the program was more interactive. The final assignment is very easy but instructive, so I enjoyed it, although the grading process is terrible (taking screenshots; really? couldn't we just view and grade the notebook directly?) Still an enjoyable finance-oriented case study.
автор: CHRIS M
•7 янв. 2022 г.
It was an interesting project that helped familiarize you with some interesting tools and show the types of things possible, but I thought maybe there was a tad too much hand-holding. That being said, I peer-reviewed somebody who missed every question because they just didn't seem to really understand what was going on and tried to mindlessly follow the hand-holding.
автор: Ian K
•24 июня 2021 г.
The explanations were thorough, and it was fun to learn web scraping. However, Watson Studio was difficult to deal with. I was unable to open up my "final assignment" notebook after I exited out. The "Assets" tab did not seem to work for the Db2 Lite Plan. I had to redo parts of the final notebook and complete it in one sitting.
автор: Jesper R T
•9 мая 2022 г.
The course overall is great. My problem is with the graded assignment. Having to copy and paste all the pictures in, when you link the notebook directly is quite annoying. And then getting minus points on the assignment for being a noob and copying in the wrong picture.
Everything else is amazing though, so still 4 stars.