On the whole, it is quite alright. But I feel like some of the topics are rushed. It is up to the learner to go and find out more if they are still confused.

I really liked this course. I've learned a lot, unfortunately at the final exam the formatting for the code went bad and therefor was very difficult to read.

the teaching was very fast. To be a beginer coures please make it more simple. some of the complex things are taught in hurry. Please teach in a slow manner

If you're looking for a course that can pave your path towards data science, then this is it! just go thought it thoroughly and do the assignments sincerely.

Good course with concise information. I just wish it was explained with more examples and more in-depth. Overall, it was really informative and entertaining.

The course gives a basic idea of Python coding required for data science. I needs to be a bit more detailed with more example/case studies ( in my opinion).

Minimum of practice, don't need much effort to accomplish tasks, less code should be already written in notebooks and more cpomplex tasks should be created.

Very well designed course, but it would be nice to have more coding practices here. Overall, I had good experience learning about basics of Python. Cheers.

Great course!! The concepts are explained really!! The ungraded external labs contains a lot of information, you can use it as a resource to fall back on.

The course has been interesting and has helped me to get an insight into Python programming, however, I would have liked to have more examples to practice.

the python notebooks are very good but the lectures are boring to the maximum compared to other courses on other platforms or even to free youtube videos

El curso esta muy bueno, y bien explicado todo, pero estaria bueno capaz un poco mas de ejercicios practicos para que te quede mejor y se entienda mejor

The course was really informative and very much suitable for beginners. The depth in which the topics were taught could be increased slightly.

Thank You!

In some places, the course is a bit fast in the explanatory videos and it would be better if the pace can be normalized. Otherwise, it was really good.

I learn the manage of libraries, functions, methods and the use of files, lists, tuplas and arrays. The examples are very didactics and understandable.

Very precise and concise course, I liked the structure and the progression. At the end, I will only add a bit more about API and more exercises.

Thanks

The course is very nice and industry saavy preparing the insustry professionals.

Thanks for such a useful course made availabe at the user convience.

Very good course for a beginner. I missed more exercises to practice, especially Pandas and numpy. Overall a good approach with the Jupyter notebook.

Too many contents compacted within a very short passage.

The On hand labs lacks of explanation, or even some exercises did not be mentioned in course.

it was good and fast pace course to the python fundamentals and for the basics of data collection and what is meant by API, REST API and web scrapping

i didnt know how to load the file with pandas, didnt understand what pandas was and i was lost how to load the notebook, more instructions were needed

Very much helpful to those who has deep interest in data science and python language. All the videos are very simple to understand and easy to learn.

It was a great learning experience provided by IBM skills Network specially labs, APIs with python was a completely new concept to me in this course.

This is a nice introduction, but it's much more useful if you (1) have a background in statistics and (2) use a textbook with problem sets in tandem.

Good course for building foundations in python. Take this course before going ahead in this specialization if you are new to data science and python.