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

Just a little suggestion that if i am paying for professional course i would expect a real tutor instead of voice, it is just my personal opinion. Course helped me a lot thankyou.

The course has been amazing. It equips you with skills and it is well explained. The instructors took their time to explain the concept. It needs commitment to complete the course

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Lots of valuable information, but there are mistakes in the videos, the IBM instructions are outdated, and the quiz includes several questions that we never learned how to answer.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

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.