This course is very informative, perhaps you could take it with little to no coding background and understand everything in it. My only fault with it is that the quizzes/exercises are not particularly intensive, so you will have to make programs and study a good deal outside of the class to achieve mastery of the concepts.

A good intro to Python. The only frustration was that sometimes the examples presented and content covered were different from the a couple of questions in the lab and final project without explanation (most were covered however), making it a bit confusing and leaving an inexperienced programming student a bit in the dark.

Fast paced and to the point; ideal if you have programming background and quickly want to come to terms with Python.

Minus for the course materials using IBM cloud; the required material is missing and/or inaccurate, causing one to spend way too much time trying to figure out what the course material should have presented.

It has an impressive teaching style and has quite a good resource.

But it would be more pleasing if its videos were a bit longer. And sometimes the "Ungraded external tools" for practicing the codings don't work quite properly( it executes the functions or inputs after a minute or so after you use the "Shift + Enter")

This was an excellent introduction to the Python language. The only suggestion I would make is to assign more homework in order to practice the material presented in the videos. The skills labs are helpful, but much of the code is simply provided instead of having the user generate it themselves. Overall, great course!

Some changes exist on IBM Watson comparing to the lectures. Plus the way Watson Studio hanldes notebooks, storages and buckets is different from the instructions in the class. An update in the slides and instructions would sort it out properly.

Other than that, a good course with solid information and explanations.

Course materials are really good. Practice labs are also good. However, Final Assignment section needs to be revamped because it has little to no relation with the course materials. I would like to see the Final Assignment section to assess the coding skills which were taught in the previous 4 weeks of the course.

very good course for beginners. I was able to understand mostly all of it. The last two assginments were a little tough though I managed to do it after reviewing the videos again. I needed help can you please tell me where can I get my certificate I am not able to see it even after the completion of the course.

I learned a lot about Python in this course. There were typos here and there, but the learning was gradual and it was not such a jump for quizzes and tests that I couldn't get it done. One suggestion I would have would be for some pages that would provide a summary of learning that could be used for reference.

The content is great, and there are a lot of take away notebooks to experiment with. I would say what prevents this from being 5 stars is the content design of the transcript when following along. The transcript is a large block which can make it hard to reference something that was said, while taking notes.

IBM CLOUD portal operations could be more explanatory, in terms of instances, if lab is 1 hour, 40 minutes is spent in the way to initially open notebook... after finishing mandatory questions, optional ones are also not explicit, I created unnecessary credentials, buckets... Without understanding, and left

This is a good introduction to Python. My only criticism would be that the final project has an optional step to share your project that refers to instructions that are not available. There are discussions relating to this problem on the course forum dating back for months, but it has not been addressed.

Excelente curso. Esta planeado para aprender de forma muy practica. Recomiendo que se traduzcan los videos a los diferentes idiomas cubiertos, de esta manera cualquier persona de no habla inglesa podrá aprender a mayor ritmo, porque algunas veces ser pierde la atención cuando solo se leen los subtitulos

Good starting point on Python. Especially the first weeks which provide all the useful details in a newbie-friendly speed. However, I had the strong feeling that the last two covered many more concepts in a superficial way, instead of expanding them accordingly giving them the right space and importance.

This course was extremely useful in helping a beginner understand the basics of Python coding. However, as times, I felt like the instructions were a bit unclear and I had difficulty figuring out what to do for the final assignment. In the end, I was successful but maybe the instructions can be clearer.

All in all explained well and clearly. However there was one very frustrating issue: the videos were very clear and concise, but when one moved on the reading it was like having to go through all the material from the video from the beginning with some additions. The same applies to the hands-on labs.

Great course even though it is not well constructed.

For labs, I would love to cross check whether my code provides the same result as the given solution. While some need more explanation. Examples and quiz sometimes did not make sense.

You may need basic programming knowledge before starting this one.

Wonderful course. Python from a basic level to some complex stuff. Course will be easier if basic knowledge of python language is known. I'll say basic knowledge of python language is, somewhat, a requirement.

I would rate it 5star but there are some small errors in the content and its presentation.

The audio in some videos is just plain poor and there are grammatical errors scattered throughout assignment instructions that do no favors for a learner.

Ultimately, the course is a great way to introduce yourself to very powerful tools and uses interesting data most people should be able to relate.

This course will teach you the basics of software programming in Python language.

In addition to that, you will learn what Pandas is, what it is used for, and how to use it.

I, personally, didn't fully understand Pandas from this course, but it certainly gave me a general knowledge of what that is.

I felt that for the final test to be completely on using the Pandas library that the course itself should have spent much more time on it. Otherwise it was a good course. Maybe should have been longer with more labs that required more coding from the participant versus it being presented for us.

Course is overall elegantly designed but there is a little bit of confusion in the API and file part. A little bit of detailed explanation of these parts could have made them better. Overall it was fun to learn python. Finally, thanks to the instructor.

wooooo!!! we did it.....................

I have learned Python Basics and how to use API Modules for Data Analytics. It's an explorative learning. I hope the elaboration on the final project assignment will be improved and the inconsistency issue between the tutorial and actual Watson Studio interface can be solved for future learner.

I really enjoyed the course a lot. It really gave a good example of how Python is used in Data Science. The only downside was that the tutorials were kind of dry. Other than that, had a lot of fun and learned a lot more. Thanks again to IBM to making some of the best MOOC's i've ever attended.

"Python for Data Science and AI" is a bit misleading. It's rather a 101 level course. If you know Matlab, R, or any other language, going through some of the videos is a bit a grind. But overall, the quality is good. Good job on having up to date videos about Watson, compared to other courses.