Need updated and detailed tutorial on IBM cloud and Waston's studio. I have to upgrade from lite in order to finish the HW, which takes some time to go through IBM's support.

As a beginner week 5 portions were a bit difficult to follow. I couldn't understand APIs, REST APIs etc. No background on HTML makes me difficult to learn webscrapping also

Really gained the most knowledge required for data science. Thanks for this amazing course.

Except for the IBM cloud storage issue(saving notebook to the IBM object storage)

Complete. Talks about almost everything. Of course, in this short time you can't become an expert at Python, but you get a wide range of concepts to go forward on your own.

The course was good overall. At times the content seemed to skip around from novice to a higher level of understanding without explaining the new content to the novice user

Good basis. Could have gone into more detail with respect to classes and objects. Should have also included unit tests, which are absolutely vital for software development.

Some of the modules with exercises are worded quite poorly. You can easily tell who the better authors are and you should have the same high standard for all instructors.

The experience of the course was awesome. However, the videos are too short to cover even the basics of the topics. Try to include additional explanations on the topics.

I know how the program structure works and can read and understand simple code after completing. Will need more practice writing code, however, to apply that knowledge.

This course needs to be reviewed and updated. Links are incorrect, screenshots are from old versions of IBM Watson Studio and the security certificates are not updated.

Informative, but lacks step by step, easy to follow, guided examples, and lacks repetitive practice that tends to help with learning coding and working with data frames

Very Good Explanation of Pandas and Numpy. Difficulty level of Assignments is Medium, it can be increased.

Thank You to overall team. More curious to learn next modules.

Very good course, I liked it a lot, I give it 4 stars because although it is well explained and everything I feel that it lacked content, but everything else was fine.

Though this module didn't go through practical exposures e.g; examples through Python softwares for multiple questions but their theoretical concepts really went well.

I liked it though, there are parts in the labs that aren't fully explained when you try to do them. I expected a guided laboratory to be able to apply what was taught.

Course was good.

Lab is really good for learning hands on without setting up everything on my own machine.

Videos explanations should have been longer and more detailed.

Easy to complete even without any programming knowledge. There is still some mistake in the content that can lead to confusion. Overall I had a really good experience.

It would be appreciated to have real life examples while learning such dry subject, as it's hard to see how all the coding interprets in professional or personal use.

it gives you a basic idea of how the python works and makes sure you study it very carefully because there are lot of terms which can be useful for you in the future.

Te explanation for One dimensional Numpy , Two Dimensional Numpy can be improved on. Te explanation for API is not easily understandable for people who are new to it.

This course deserves a 5 star review but I am not giving it as there are two glitches that need to be fixed in some of the quizzes!

Great introductory course to Python

Well put together course for beginners. Only thing I would say about it, is that throughout all the readings there were plenty of grammatical error and misspellings.

I liked the course, it is very interesting, but I think that the explanation of each video are too quick, and that can be changed, because I had to pause many times.

For a beginner, the course provided great content. My only criticism is that the final assessment contained content that was not covered by any of the prior classes.