Very brief course of Python. It touches the basics of the language.

As with the previous courses, the final assignment generates frustration because of things not related to the examination.

A Good brief course.. to get introduction of every aspect of Data Science. Sorry to say that it cannot be called "Certification Course", as many things are explained in a very brief way.

Interesting and clear, the difficulty in the exercises escalates pretty quickly and some exercise and clarifications are not the best. Very interesting and well structured course overall

A well programmed course. It covers the vital aspects of Data Science, and I will recommend you try this course if you want to start off your Data Science journey on a very smooth path.

The course includes extensive hands-on exercises. However, it seemed to lack in more details. Also, a full-fledged project / exercise at the end of the tutorial would have been helpful.

The content of the course is great, but the exercises from the middle to the end of the course are with lots of bugs and dependent on IBM account that is free only for a specific time.

Great explanations with good examples. This course give you a really good boost if you are getting into data science career, you'll just have to polish the skill you gained from this.

I am someone who likes a supplementary textbook in conjunction with an online course. I've downgraded my rating to 4 stars because no supplementary book is identified for the course.

I am not a beginner for Python and I know that this course is not completely for beginners. It took me a while to finish the final project which is much harder than previous courses.

This course is easy to understand but you need to have little programming knowledge beforehand. I would have loved it more if the topics covered under this course were in more depth.

Final project notebook needs to be edited by the instructors. The instructions in some places are misleading and the English/grammar is awful in places. I think this can be improved!

Great Content. Really pushed someone who have no knowledge of Python to think like a Data Science but some technical elements need more explanation. Especially the final Assignment.

Buena introducción sobre Python y todos sus fundamentos. Creo que la última parte del curso puede resultar un poco difícil para aquellos que recién estén aprendiendo este lenguaje.

Labs were very helpful. The week 3 labs took a sudden big jump from simple to complex. Some interim exercises, such as practicing some simpler functions, would improve the process.

Im aware that this is an introductory course, but sometimes it felt like I only needed to run the cell on the labs to get the answer, which is fine but I would liked more exercises

It is overall good course. But some concepts were explained in a hurry(webscraping, file handling, etc.), so students be ready to do a lot of self study. Nonetheless, good course.

Good course and well scaffolded. The end project is fine but not really project-based. Students shold be told to go to forum to beg for peer reviewers in order to finish course.

The last US analyze was not that great. students were not given much information before proceeding to the exam, which resulted in some problems. But the entire module was perfect.

Lots of valuable information, but there are mistakes in the videos, the IBM instructions are outdated, and the quiz includes several questions that we never learned how to answer.

This course is good in that the course is interactive so we can try and error, but there are too many typos and sometimes making it troublesome. These points need to be improved.

this course has been really quite informative. It gave an immense opportunity for learning. However, I would appreciate if we have more hands-on problems under graded assignment.

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.