very good course for python basics as well as for numpy and pandas libraries , the last assignment is not clear at all in the second part for me , it requires a practice for codes that was not explained in the lessons and the description is not clear

Course is good, but I completed the course on August 15, 2023... why does my certificate say August 16, 2023? That sort of increases the days I took to complete the course... can someone fix this and resend the certificate with the appropriate date?

Too many spelling mistakes in the notebooks, too many errors in the slides w.r.t indices in slicing, completely goofed-up video on matrix multiplication.

Content is very well done and well-delivered. Lack of attention to detail was the main spoiler.

Initial topics in the course are well explained and cover the basics. In the later part, course rushes to complete the content rather than trying to explain it. Complex and important aspects required to solve practical problems are major missing.

A good introduction to python but..

The course lacks practice. The labs are so basic and don't include some coding exercises. The notebook is already written and students only run the cells but don't write a specific code to solve a problem.

Overall I felt that it could have been presented better. More interactive things while the training was playing in the background and allowing another pop up screen so that people could write some of the code while the course is being taught.

There is No proper Guideline to setup IBM watson studio..It is very difficult for beginner to setup an IBM wastson studio account.The Guideline which is given in course is outdated.In the latest version The Interface has been totally changed.

Some labs, especially in weeks 4 and 5, need more comprehensive explanations for students starting their Python programming journey. A good understanding of the concepts covered can be obtained complementing the course with other resources.

Курс нужен для галочки. Реальные знания с него минимальные, пояснения скудные. Достаточно много рекламы собственных ненужных сложных сервисов, использовать которые не обязательно (гугл колаб привет). Проверочный материал составлен небрежно.

This is a solid course for beginners in programming. However the course was the fourth course in the IBM Data Science Professional Certificate. The Certificate is addressed to people far from the beginner level. Bad curation of the courses

The contents in the video most part ovelap with the hand-on tool.

Could add more pratical application/practice in the hand on tool.

The quiz is too easy.

Could put more alogotithm contents.

Don't like the machine voice of the video audio.

Explanations of Python code was read like a list of definitions without meaning or context. Labs did little to reinforce learning and instead served as duplication of videos. There was zero exploration / discussion of "why" on anything.

I think the course is missing some of the detailed work on Python loop operations, which can be ignored if more practice afforded in the next few courses within the Profficional certificate program. and thank you for all the effort.

There were a few coding errors in the labs. It really detracted from the experience. However, I would imagine that a good amount of time will be spent fixing code for other people, so the experience was justified to that direction.

The first half of the course was easy to follow but in the second half of the course it felt like there were several knowledge gaps. However, overall the course managed to impart the basics of Python and get me eager to learn more.

This course was difficult. I felt that in the sequence of this certificate I went in degree of difficulty from 3 to 9. I had to spend many more hours on it repeating the infomation because it assumed I understood the terminology.

A few items are very technical, those without prior coding knowledge will not understand it. I suggest reading some basic programming concepts to understand this.

I have a brief idea on linux and python, so i could scrape through

it may be in more detail and informative pandas library are very difficult to understand in this lecture series try to do that it more easy way and do some example and all....

thank you so much....otherwise course is very much good

I don't think the hands on labs really helped due to the fact that the code was already entered in the input boxes. I think there needs to be blank input boxes and have students fill them in with the option to view the solution.

The course covers the basic, but the pacing is very erratic and some concepts aren't given nearly enough attention. Alo the code formatting throughout is terrible and does not conform to Python standards as expressed in PEP 8.

Please provide better instructions for graded assignments, and please include relevant video or tutorial sessions on topics presented in the homework (many topics were newly introduced and confusing for beginner programmers).

I definitely learned a lot through this course. It could be confusing at times and I feel like some of they examples they could have used different variables to make it not so confusing. Overall good intro and course though.

The final quiz doesn't pose data link in the assignment. Some people already have Studio account, don't need to follow the steps to open new account, had hard time to find data. Really cost me couple hours to find data....

sometime the course suddenly jump to something that totally complicated or complex and not being introduce in the beginning, so difficult for me to understand the connection or what actually it try to demonstrate or teach

Videos were way too fast and had to be watched mulitple times. The lab assignments didn't always align with the videos, were too complex for the knowledge of the course, and often had several instances that did not work.