It really helps a lot understand the python work in data science but in last week lectures like pandas, CSV, numpy etc if there are few more examples of these topics it really help me to a lot understand

Overall, I learn a lot from the course, however there is a need to update the IBM cloud and Watson studio set-up page in the instructional material to be in-line with current IBM cloud and Watson Studio.

Great course for introductory learning of Python, however the course can be difficult and some of the videos do not provide as much detail on subjects that are briefly mentioned in the readings or labs.

Very basic, somewhat interactive, just an intro to AI without getting into the science of it. Overall, it does a decent job of introducing fundamental python concept in the context of Jupyter Notebooks

some contents are a little difficult, although they are not required to know the rationale, I found myself unable to apply them. It'll be better if it can provide some way to consolidate the knowledge.

A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.

Briefly it covers a lot of topics. Learnt many new things in such a short span of time. Its just that the Hands on tool was a little slow. Rest everything was pretty simple and its good for beginners.

This course is basically designed for beginner who wants to start with python. So it covers most the stuffs a beginner wants to know. But nothing related to datascience and AI I found in this course.

Good tutorials, well introduced. Kudos!

Some labs and exercises were too complex for starters; however, quite useful as code later in practice.

Many names could be shorter, simpler, more descriptive.

It is a good course if you have previous knowledge in python, in my case I did not have too much expertise in Programming and it was very difficult the las 2 weeks (4 and 5). However i learned a lot.

it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.

This was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.

It was a fantastic learning experience, especially the project part and review mechanism is flawless. Could improve support related to IBM cloud-related queries. Otherwise overall a good experience.

A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.

Great Course work just more needs to be explained. I searched a lot to find more information as a beginner.

But a great introduction will recommend it if you're starting out without any experience.

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.