This course was so helpful and useful but one single issue that the last assignment wasn't well_explained due to not updating the lab to cop up with the last update of IBM Watson

Me mareò mucho el tema de traducciòn al español y cuando estaba traducido no estaba 100% ok por lo que varias pruebas por entender una cosa que no era me jugò en contra al final

1 star down because I think there should be more things like statistics in python, oop in python, etc. Otherwise, the course is just awesome. I'm very happy to learn through it.

The final assignment was a bit out of touch with the learned material. It might have been better if we submitted some work done with elements similar to those that were covered.

The course contents are well organized. Topics are essential for Python starters. Anyway, it seems there are few incorrect detail and technical problems for the course contents.

Hay un salto importante de complejidad despues de ver bibliotecas como Numpy.

Hay que hacer mas enfasis en el web scraping de forma práctica y trabajar mas con lo que se enseña.

object and classes could have been better. But overall the course is good. If you have done a python course already and wanna get more details and practice try this course out.

This was fun. The notebooks could be better organized and maybe not start with code. The notebooks with quizzes were nice, but the quizzes stopped when we got to the fun stuff.

lab environment was a little bit doghy sometimes that's i have given 4 star rating to this course otherwise it deserved to be a 5 star. please improve lab environment. thanks

I learned much through this course. Some of the lab instructions were out of date or light on instruction that resulted in a little extra time to figure things out but I did.

This is very good course if you want to start learning data analysis but not sure where to start from. This course provides introductory concept required for the data science.

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)

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.

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.

The AI aspect of this course was never introduced. It would be more interesting to include a concise short course for AI which is a selling point for the course title.