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

I was going to rate this lower going by the initial lessons, which are in my opinion extremely easy and only suited for people who are absolutely clueless about programming. But the course quickly picks up momentum and by the second half the difficulty becomes Intermediate. The material and presentations are top notch.

The course itself is very interesting and has taught me a lot. There were some technical problems with accessing the final project but these were resolved quickly and my final project was marked within less than two hours. Overall a good experience which I can recommend for anyone interested in Python and Data Science.

I am a complete fresher when it comes to Python. I have only a little background of learning a bit of Java. I found this course very easy to understand and the Labs were the actual highlight of this course where I learned the most. If you are taking this course, do the labs thoroughly there a lot to take away. Enjoy!!

On of the best course that I took on Coursera since it covers python from the basics. It gives an good idea about how to use the tool in an application oriented manner. The final assignment was the best as it covers almost all the exercises of past weeks. also it gives an real life application of how to use python.

This is a fantastic course that takes the learner from the very beginning to the very end of operating with the Python software. This course was both demanding and fascinating, and I thoroughly enjoyed every minute of it. I struggled the most in two parts, but my determination to finish the course carried me through.

The Watson Studio interface has changed compared to the instructions in the course for final assignment submission. I think it would be better to update that part or change the way of final project assignment. On overall, the IDE of Watson Studio is not user friendly at all and very complicated to work with.

Thanks :)

This course covers the basics of Python in great detail. The videos were easy to follow and backed by exercises giving the student an opportunity to see the code and its effect in action. I do have programming experience but am new to Python and I am very glad I utilized the pandemic period to start with a new skill.

Well organized course with effective material to get acquainted with the usage of Python in Data analysis. Thanks, Coursera and IBM also for this platform, if anyone really cares about learning definitely they should have a look into it. One more thing a basic knowledge of Python will help to make it smooth learning.