Nice course to combine with more in-depth courses as it lacks any exercises

It is very uneven in terms of levels of difficulty: practice quizes questions are extremely easy compared to hands-on labs

But I combined it with the in-depth Python exercises so kudos for having it well structured

The course was explanatory and so easy to understand.

I'd say the issues I had were that I was unable to open some labs and a question in the final assignment was either incomplete or incorrect that I couldn't even make sense of it.

But overall, The course is okay and beginner friendly.

This course is great but there could have been more emphasis on the logics with deeper explaination. It is a well-put and well-organized course that I was motivated to complete. It is not ideal for a newbie tho. You must have prior coding experience to be able to keep up with the course.

Course is good for beginners. I paused and rewind videos a lot to write stuff down because you learn a lot. Only 4 stars because in the assignment some things were outdated and I had to dig deep into the comment section and tried things many times just because it was outdated sometimes.

I knew Python before enrolling in this course and didn't have any problem with the course materials. However, I believe the teacher taught the course very fast with the least explanation on each topic. I think a person who does not know Python beforehand, may have a problem in learning.

If your are beginner in python, this course will help you make good foundation about python in all aspect. Content are simply and we can easily understood. only thing is when go end of this course like HTML and HTTP there is some further content needed otherwise all the topics are good

Good general outlook of basic Python programming operation. Although the details for each type operation is not in depth enough as memory model were not sufficiently utilized to complement the explanation, the overall teaching style is detailed and easy enough for anyone to comprehend.

Sometimes the labs wouldn't work :/

Also, it teaches the fundamentals but maybe including a video on how to set up your computer in order to have python and the libraries available would be a nice start as well.

Otherwise I'm very happy and feel I have learned a lot. Thank you very much

Es un muy buen curso, pero siento que hay 2 problemas que limitan mucho el aprendizaje, el primero de ellos es que no cuenten con audio en otros idiomas. Y lo segundo es que existen un par de videos en los cuales no se presentan subtítulos en otros idiomas, como por ejemplo español.

This is a basic introduction to Python for whoever wants to start with data science and AI. If you are completely new to Python you will probably need more exercise than just this course. For people with Python experience, this can be a good rehearsal if your skills are a bit rusty.

An amazing course for beginners like me who have no clue about Python. It's really helping me learn how to write my first lines in Python. The instructor explains codes in a very clear and simple way.

The only issue is that this course doesn't provide us with professional practices.

The videos are really well made and strongly explained each and every point. I really enjoyed while viewing it. Only one demerit is the quiz section. The quiz sections could be more difficult. But its okay, because in assignment its is managed.

highly recommended for this course.

The quizzes in the videos had some awkward cuts where they would ask something that would be taught right after and felt a bit odd since I think you should ask things that were taught previously in the video not afterwards.

But overall the contents were clear and understandable :)

A lot of information for new beginners. There was trouble with Jupyter Lab that caused some delay in the course. The answers to questions in the threads are incomplete and don't really explain the solution clearly. Overall an interesting course and I learned a lot about Python.

Learned Basic skills in Python such as data types, loops, file handling, exception handling, basics of Pandas and Numpy, and some parts of Matplotlib for plotting. My experience was good. Graded assignments were good. Looking forward to completing the next part of this course.

Helpful start to learning Python. I appreciated that there was a hands on lab that allowed you to actually practice the codes itself instead of just plain textbook materials. The final assignment was a bit buggy in that one of the questions did not accept the standard answer.

The course is very good. But as a beginner who has no background of data science and programming, I sometimes feel it is difficult to understand some code. I think the course can add more explanations as optional parts to make it easy to understand for those beginners like me.

This course helped me improve my coding skills quite a lot. The videos were easy enough to understand and hands-on labs were good too. Some concepts that I had learned before also received more clarity. Due to this course, I'm more confident in my concepts than I was before.

Great course overall - packed with useful content! The main thing I would say that needs a re-work is the API Module - some of the content was in the wrong order and made no sense initially, and some content in the readings didn't make much sense or wasn't worded very well.

It was hard to follow up some topics since I dont have previous experience with python. Some exercises in the lab were difficult and the explanation was not in the videos. So I had to do some research in another sources to finally understand the exercises and lines of code

Good apart from the end of the final week where in trying to highlight use of their IBM Watson Platform the courses descends into complex instructions to link content from it with very little explanation and that doesn't seem to run if you have a non-US IBM Watson account

I think the course is very well structured. I don't come from a tech background, I am actually an industrial engineer. I wish the course has more examples and labs with problems to solve and the answers, to be able to practice more and learn from the mistakes we make.

There were quite a few inconsistencies between the videos and the actual IBM Cloud tools. Also, the final assignment seemed to have less to do with Python and more about saving your final output to a Data Bucket and setting permissions/visibility so peers could view it.

I personally felt that more of stress could be given to Python coding. This course and its contents had the ability to create a strong background for the student in Python but somehow it couldn't. But still you get to learn a lot of things. So it was a good experience.