The course itself explains well the content, but the final assignment is a nightmare, because proper and clear instructions aren't given on how to submit it/make it visible online. The assignment submission coding section is much tougher than the course material.

Though basic Python commands are taught. The hands-on session are not covering the knowledge gained in the tutorial. Also, final assignment is not challenging enough. Though I learnt a few starting concepts in Python I cannot say I am satisfied with this course.

The level of the Hands-on labs increased significantly without properly introduced the new concepts. The hands-on lab are a copy of the videos which is not good because discourages in some way the focus needed to learn Python as the classes become repetitive.

I found the course incredibly interesting. However, the chronic mismatch of instruction to assessments can not be overlooked nor can the outdated course materials that are incredibly difficult to translate into updated software versions at the beginner level.

though as someone with no previous experience or knowledge about programming i found it difficult to keep up with some concepts and ideas that the instructor built upon , its the curse of knowledge i guess but overall i enjoyed the experience and the content

Very exhaustive, and exhausting! Would benefit from some clean up, and some more learner-oriented strategies, pacing, and exercises. Overall you get what you pay for, and for someone willing to work extra hard to push through, this course can be beneficial.

The course is good for basic information and most of the time is used in the basic. More high quality and complex examples could be used to enrich the content and provide examples of how to use the tools in more complex environments and with more examples.

The videos and readings are great but the final assignment is a bit sloppy. It cant be solved by just following the guidelines, workarounds are needed that deviate from the suggested ways (selecting the correct endpoint, makedashboard command not working).

While the instruction is mostly clear, the course doesnt allow you to practice and enforce newly developed skills. Many steps are skipped, and all the labs are pre set.To really understand you need to spend extra hours working with information presented.

Overall, the course taught the basics of Python but instructions regarding IBM Watson can be extremely unclear since the notes haven't been updated. Also, the final assignment is kind of a joke since it seems more focused on Watson than material learned.

This is a great course, really useful to get the idea of numpy and pandas, maybe the exercises are easy. I need to say to all the people that we use the watson studio of ibm, using the software may be a headache for many people, read the forums carefully

Good basic introduction to the syntax of Python and its core capabilities. The online coding modules contain a number of errors in syntax. These are small enough that even a student can catch them and make the corrections to make the code run properly.

Some good information - need to spend more time on focused items and explaining some fundamentals. Why do some things need [[ whereas others just one [ what is happening behind the scenes? what is the significance and reasoning for what we are doing?

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.