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.

El material me parece excelente. Las preguntas para las evaluaciones están bien pensadas, aunque poco exigentes. Los videos fueron muy didácticos.

Great course for python beginners. Just felt could be a little more smoother process. Just felt, those IBM related things were excessively promoted.

there were some technical problems that reduced my overall grade even when it wasn't my mistake.

but I got a lot to learn from the material provided

A very basic course. Although we were being taught a lot of new things in this course but still a more in-depth knowledgeable videos were mossing.

It's not for a true beginner but with extra effort to break down the information and practice the skills, a beginner can successfully complete it.

good explanation for the Python basics, a good overview on Data Analysis and the related Python libraries, not too deep, but a good introduction.

This was a awesome journey. I felt real interests in apis and already started working on a project. Thanks a ton for providing for such resourse.

This course gives good understanding of the python basics needed in data science and a good introduction to the python libraries pandas and numpy

Its Very Easy to get in start but in the last week its like blast, suddenly Every thing gets tough.

Try going to it at least twice for the week 5

Course content is good, but i was able to find out few spelling mistakes and for one quiz i was marked wrong even though i selected right answere