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.

This course is fantastic. Very helpful in learning python and all the digital libraries which are required in Data Science related fields. I downloaded all the Digital Libraries required. Thanks to IBM for creation of these unique courses which are very helpful for potential future employees.

Some materials are not covered, but are in the exam. I've self studied python before starting this course. I think it might be harder if I start from knowing nothing. I found the material is quite simple, but the example are much harder. I cannot say i'd enjoy it if I come in knowing nothing.

Great course. concepts were well explained until towards the end, when some functions were thrown in without proper explanation of the attributes in the Labs section. All in all it was a really good course, that will stimulate you to do a lot of research on your own.

Thank you IBM and Coursera

A great introduction course to Python. A lot of topics are covered and you will learn a lot. I wish they would proof read the labs though. There were a lot of grammatical mistakes and instances where sentences would not make sense. I also wish they explained the harder topics in more detail.

The mix with videos and the labs helped a lot, to understand the topic. The only thing, which was to complicated and cost much time, was the introduction of Watson. This topic was not helpful for this course. But overall, I am satisfied with the course and I am prepared now for next stages!

Good introduction to python. Some lectures were quite lacking but overall decent introduction. If this is your first programming class, you will probably need more homework to get used to typing the correct way. Google beginner practice python work or something like that and it should help.

Excellent course for beginners who wants to learn python for data science. In videos, all the concepts have been explained in very simple way which makes it easy to understand. Thanks for creating such course. I took the course in audit mode so don't know about the quality of quiz sections.

I love this course with a bunch of useful exercises and helpful demo with tool. What can be progressed is that some materials are out of date because the interfaces of Watson and IBM tools are edited and the materials are kept with old. It makes learner not able to find and do efficiently.

at some point, this is the very good course for who want knock the door of python and data sicence, but the content seems to be a little easy and some of the function used in the couse is not explained very well. As for the api part, after the course, I still find i know little about it.

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