Code is beautifully explained, Skill cloud lab is amazing to work upon. I can use jupyter notebook and Turi whenever I want to. I had a major problem installing Turi in my windows platfrom, version and resources never matched. Thank you IBM for this platform.

Never learned so much things in so short time. Thanks to the instructors for the amazing course and didatics used. The animations explaining each concept in each class was the cherry on top of it. Impossible not to understand. You're the best teachers ever.

Very nice introduction to Phython, with lots and lots of usefull examples, and also introduce you to some of the most important libraries from Phython will allow you to do a great number of things, from scrapping websites to analize big sets of data! 5/5

Very interesting. Adequate level to start using python.

The only section that I found less interesting was the section on APIs, the description of the code for the connection with the service providers was a little bit confusing.

Overall excellent course!

it s really an amazing course that will build your first step to python programming in all thee domains and its not just a first step its an all course that teach you the whole using of python in the technology world.

Thank you so much for this course

Excellent. I taught me things which I didn't know existed, haha! I am very grateful for the teachers at IBM for compiling the course material in such a graspable manner. There is a long way still to go. I hope to see you soon. Thank you once again. :)

Having taking the Machine Learning Coursera from Univ. of Washington, I left this was a much better explained and presented course explaining the information behind what was taught quite well. I could recommend this course to new Python programmers.

It was a good experience to learn and get to know about the Python for Data science through the medium Coursera. I confidently say that I am conversant in this field and I will definitely get the golden opportunity to be a part of the Data Scientist.

Excellent course. This course teaches plenty about the introduction to using common data science analysis tools like Python. Anyone would benefit from taking this course and learning to use amazing frameworks like Python's pandas or numpy frameworks.

This course as part of the IBM Data Science Professional specialisation is a great way to learn foundational Python skills for applying in data analysis and AI. The resources provided by IBM offer a great opportunity to practice on your own time.

Thanks for the excellent course, I learned a lot from your magnificent teaching and, until now, it was the best course I took and the one I learned the most. I will look for more IBM courses to be able to take and learn from you, thanks teachers.

Great course! The only issue I encountered was in the last lab (week 5 working with different file types) in which the instructions to download the sample employee XML file were not clear, and the append function code returned an error message.

The course content is great, but the video explanation is abstract and contain little information. I understand that more info is contained in the hands-on lab, but the instruction for lab is all in words and can sometimes be tiring to look at.

It was good experience of learning, the way course has been designed and very good point is the interactive part, where immediately there is question answer session.

Specially the course content and gradually moving towards detail, i like that!

Muy buen curso. Es totalmente disruptivo e innovador.

Recomiendo a cualquiera que quiera iniciarse en la temática.

Como estudiante de Ingeniería Industrial, es de gran ayuda tanto como para complementar estudios, como para explotar nuevos rubros.

Excellent course for Python beginners, no previous skills are required. I definitely recommend it for those who are starting in the Python programming world or for those who are looking for some basic skills to be familiar with Python projects

The course was very knowledge-enriching and easy to follow. Most of the concepts in Python necessary for Data Science were covered, and examples were practical. Videos were also explained very well, and the exams were really highly thought-of.

Easy to understand, this course is very suitable for beginners.

Quickly understand the basic syntax of Python and interesting IBM cloud, and the labs provided.

There are many very good practice questions to help students understand the content.

Not sure I see how we will be using all of the Python techniques outlined in the course (ex. use case for capturing only the first two characters in a text file), but the labs were informative and the lectures told us exactly what we needed.

A bit slow for me in the beginning since I've had experience with other languages but would defintely benefit anyone new to programming in general.It picks up at week 3 and I learned ALOT specially about Pandas and Numpy.

Great course overall

The first 2 weeks of training were great. I thought there was nothing complicated in programming, but I was very much mistaken, week 5 became very difficult for me, but in general the course is holistic, gives an initial idea of programming.

the course has given me a good start towards data engineering. Now I feel comfortable to deal with all types of data and file formats a how to manipulate data for data science purposes.

Many thanks cousera and IBM for this valauable course

The course covers basic Python concepts, programming principles, data analysis, and data visualization with Python and its libraries. During this course, you will be encouraged to research more about the content to develop your own programs.

I believe this course really gave me a flavor of how to extract data from Data libraries and how can we analyze them using different functions. I will recommend any beginner interested in data analytics to take up this course and start away.

This is a good course for learner with zero programming background in Python.

The course exposes the basic and fundamental concept in Python programming from the most simplest to the most complex step by step with easy-to-understand example.