This was a good course with a lot of interesting content. However the exercises in the hands-on labs were often repetitive and the quiz questions replicated the questions asked during the lecture.

Fast pace course, if you have never been in touch with python you might need more time and extra materials to complement your studies. Overall, it is a good introduction to python foundamentals.

Extremely helpful for those who are new to the python and the concept were explained in a very sophisticated manner . Thanks for the tutor and the course era for providing this great opportunity.

For someone new, like me, Jupyter Notebooks didn't seem to work all the time; or the code didn't work. Overall, a fantastic course, sometimes I wasn't sure why the code in the labs didn't work.

Could be a bit more advanced for those who have programming background. I also felt the practical work in the lab could have entailed more quizzes to let the students apply the new concepts more

This was a pretty good course, But there were some mistakes here and there with the text that the bot speaks and also in some of the slides. It'd be better if some instructor records the videos.

Good course. but one needs to make sure they properly understand all the topics covered and very minute level of concentration is required because they might cover a simple topic in 30 seconds.

Muy bueno, pero siento que se deberìa explicar como usar los APIs y demàs desde el Python que uno descarga localmente, y no a travès de Jupyther notebook. Y explicar el graficar en el mathplot,

There are some drastic leaps in learning between modules. It would make it easier to have additional information explaining a lot more of the concepts, rather than just running a block of code.

I am reducing 1 star because of the issues I faced during the exam. Kindly update your instructions as per the updated IBM cloud website, or any other third party tools employed in the course.

Es un curso muy completo, para los hispano hablantes puede dificultar un poco en la traducción pero nada que no sea accesible. Tiene muy buenas herramientas e implementaciones. Muchas gracias!

This course strengthen your knowledge for python, and it requires lots of understanding, time to do lab and practice to become better. However, I hope some issues with the lab can be improved.

-Good Course for basics of python and intro to Pandas and Numpy

-More exercises related to Pandas and Numpy would be good for practice.

-The course isn't updated with the latest UI of IBM Watson

I am grateful for Coursera and IBM for this course. I deducted 1 star because I felt the content of Week4 (content with Pandas and Numpy), and Week 5 should have been expanded a little more.

Good course. It can go from very simple to very complex at times for someone who starts from scracth. There is a lot of code that isn't always explained with a lot of functions in between.

Please check the final assignment and ibm speech API . I have to trouble to setting up and there is instruction is missing. however the first 3 week is very insightful material for new user

Very Interesting Sessions. Thoroughly Enjoyed going back to good old days of programming, which made so easy and comfortable nowadays.. Thanks to the professors and mentors + the evaluators.

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.