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.

Perfect course for someone with no experience in Python. Starts with the basics and builds up from there. The videos are well put together and the assignments help clarify the concepts presented in the videos. Overall, was very informative.

The language used in the videos was simple,the labs assignment was very well managed never faced a difficulty in understanding anything.

The course was short but useful in learning the python language as a complete beginner to the language.

Thank you so much for course team for taking the time to create this great resource. The high-quality production, the hands-on projects and real-world examples makes the learning environment very interactive to becoming a data scientist.

I like the content of the course. The practical approach of the course makes me understand the things quite easily and its boosting my confidence on new technology. I would recommend others please go through each bit of practical content.

Python for Data Science and AI was an excellent introductory Machine Learning and AI course using Python. Previous programming experience is highly recommended. I had some Python experience but significant PHP, JS, and Ruby experience.

I recommend this course to all Data Science enthusiasts, it strengthens your Python foundation needed for Data Science coding skills. Thanks a lot Coursera for such a wonderful course which helped me in my Data Science Journey. Cheers!!!

Excellent course to grasp the very very first libraries and commands in Python for Data Science, I really would recommend, if you're a very beginner in Python, first learn the basics of the language, how it works and the core of Python.

It was great. Great for those who have some experience to brush-up what they know and to organize their knowledge methodically. Amazing for those who are new to python too. Would have been better if we spent a little more time on APIs.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand