First of all I would like to Thank 'Coursera" for teaching me this wonderful course, I have learnt a lot from it .

The way they teach is extremely simple and easy to understand. At very first step my concepts are well cleared and as I was proceeding , my confidence level were also increasing. I would like to learn more from Coursera for my career. Thank you

I have gained basics of python from this training. The trainer in the video was so cool. I love her voice, the one having deep sound. The lab materials were also interesting and meaningful for me. Questions were also to the target. In general, one can grasp deep understanding of the courses from this training and thank you for giving me this opportunity.

The "Python for Data Science, AI & Development" course by IBM on Coursera is outstanding! Covering everything from basics to advanced concepts, the course provides a solid foundation in Python for data science and AI. The hands-on projects were particularly helpful in reinforcing learning. Highly recommend it to anyone looking to dive into this field!

This course is very good and appealling since it helps to set a very strong foundation for those who are beginers with Python. Also, this course covers much knowledge needed to pave the way for being a data engineer such as APIs, WebScrapping, Multiple data file formats, and some popular library like Pandas or Numby, beautifulsoup, request, json,....

Eventhough this is not my first time to learn python, I found the course could define the terms of python pinpoint and helps our brain to use the terms correctly. However, updating the materials such as hands on lab is essential to reduce the time learning (as there's one or some files are no longer exist but still need to use in the final assignment)

A good course to learn basics of Python so as to facilitate analysis and visualization of data to make effective decisions. I thank the professors to make this course interesting and worth it. Only thing is, videos can be made in a better way so as to facilitate people with non programming background. Maybe some basics of programming would help.

Highly structured. Attempts to give a bit an overview of major topics without needlessly deepdiving into a single one. My biggest takeaway was the Python fundamentals that i was looking for. The IBM labs were phenomenally well constructed for this purpose. The questions at the end of each lab excercise are a must do as they're not push-overs .

Es un buen curso para introducirse a la programación en Python, mi recomendación para los estudiantes es replicar los laboratorios en su computador variando los casos, así aprenden más. El nivel de ingles en los vídeos es comprensible para los que no manejamos completamente ese idioma, pero sí sería muy bueno colocar los subtitulos en español.

Excellent class. Great overview of python. It starts from the very basics of python and leads you all the way to web scraping with powerful tools.

The labs are very well done and explained. I recommend this course to both people who have no knowledge of python, and people who already know python but want to learn its data science tools.

This course provided me an ample of basics knowledge in python for data science. I surely recommend everyone to take this course and it's not necessary that you must have a computer science or IT technology related knowledge to take this course. Everyone who has inspiration to learn about python in data science can take this course.

Hi

This Course is designed for all either Experienced or a Beginner. It have all related Knowledge which is necessary for Data Analyst as well Data Scientist. It gives a well structured and complete knowledge about Python and their Scope.

It was a very nice Experience with the Course ' Python for Data Science, AI & Development'

I have gained, thanks to your professional team, skills that I would have otherwise taken 4 months of on-campus lectures to understand. Your curriculum of modules is so comprehensive yet easy-to-learn and upskill making it my go-to learning tool in upskilling in this broad complex field of data science. Thank you for the effort.

Although a very fulfilling course, the content of last two weeks should be discussed in a bit more detail using more video lectures along with giving jupyter notebook files. Videos help in better understanding & notebooks seemed to be a kind of reinforcement!! A seperate module on HTML basics would work as a cherry on the cake.

This is a great experience.

Quite instructive, but I would rather have the editors downloaded and practice with them rather than cloud base. I would not need the cloud when I need to do things on my own as i would like to know how to safely download and use these tools. Options should be provided to those who wishes.

Thank you.

Earlier I was keen interested in doing this course and thought what I will learn in just a small video but I'm amazed how good the course is structured and learned a basics of Data Analysis. The project at the end was really helpful. It was my 3rd course in a row and happy to learn more. Thanks faculty members and Coursera team.

I think overall the course is fairly good in teaching the fundamentals of python. The only thing I'd say is that you get to learn a lot of codes during the lecture, but examples aren't that abundant or challenging to really test the skills. I think there should be less coding more practicing to learn these fundemantals by heart.

Very good course to get familiar with all the basics of Python and it's application in Data Science.Ton of knowledge is packed in just a few minutes of video and also there are quizes in the video to check if you are paying attention or not...(TIP: always try to search for a little extra by googling stuffs if u are a beginner. )

This is honestly one of my favorite Python Courses. I really loved the layout. I liked how there are targets set at the start of the video and there are summaries at the end too. There was no fussing around, and it was extremely straight to the point. Highly recommend this course :)). Thanks you IBM for such an amazing course.

This course provides a basic introduction to python, in a summerised way. I have studied python prior to this course. So, this is suitable for me. If you are you new to python, this is not the course for you.

But if you already know basic stuff, this will sure add value to you.

Thanks Coursera and IMB for providing this course.

This was a great paced intro to Python. I thoroughly enjoyed the examples used.

It would be nice if the Final lab was updated to reflect the correct instructions on using the IBM Cloud Based Storage to create a URL link fo the dashboard the student creates. Luckily this information was at the top of the Week 5 discussion page.

Great course for learning practical skills with Python. The Jupyter notebooks are a great way to have a combination of reading the theory and actually applying the code. I undervalued them in the beginning of the course as it said ungraded tool. Take your time through each one of them: make notes and complete the exercises.

Well! Course is quite better as expected from Coursera. Content of the course is specifically related to the core data science modules and with an extraa advantage as basics of Pyhton Programming fundamentals. Overall, the course is excellent for begineers who wants to build their career in the field of Data science and AI.

A great intro course into python for use in the data realm. It is well structured and I really like the Jupyter notebooks with sample code and questions with solutions after each section. It really allows you to practice what you have learnt immediately. As we all know, you can only get good at coding by actually doing it.

I think it's difficult to understand for who are new in programming. And I think some topic must be added in course. Such as, how can we take input and the key features of object oriented programming . But for the beginner the whole shyllabus of this course is enough to understand the basic operation of python programming.

A very useful and insightful course for any one looking to rewind its structured programming basics and develop functional knowledge of python and more advance libraries i.e. numpy, pandas, matplotlib, bokeh plots and many more. Cloud computing in practice, fundamental intelligence in speech recognition and much much more