Learner Reviews & Feedback for Python for Data Science, AI & Development by IBM

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.

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 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.

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

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.

Well organized course. First couple of lessons are a bit slow (at least if you have experience from other statistical software), but quickly picks up pace and has some really interesting assignments. A few bugs/typos in some of the exercises but maybe that was on purpose to keep us on our toes? Would recommend.

Covered the basic pretty well. Introducing some challenging problems would have been really helpful, even if it was to be made optional. Rather than giving 5-10% grades for each quiz, we could have made the final assignment tougher & with more problems for testing. The test only incorporated problems on pandas.

This course will take you from the most basic of programming in python which is quite easy to understand even if you are not from this field. One more good thing about this course is the flexibility of the course and the self assessment of the topics make it more interesting and makes you learn more quickly.

This course was really great, it helped grow a foundation for Python in context of Data Science. It helped me get over a learning plateau I've been at for some time to feel more comfortable with coding. The coursework and labs were top notch, I'm quickly becoming a fan of IBM Watson Studio from this as well.

An excellent foundation for Python programming unwrapping many concepts leading to further exploration by the learner. Enjoyed learning. The best part is the questions that pops up in the middle of the lectures and the Jupiter Notebook for practice that made the learning very interesting. Thank you!

MOST IMPORTANT PART OF THE COURSE THIS PYTHON FOR DATA SCIENCE AND AI DUE TO PROGRAMMING SKILL DEVELOPMENT AND IMPROVE YOUR SKILL FOR DATA SCIENCE FIELD PANDA AND NUMPY SMALL INTRODUCTION STARTING BASE WORK VERY GOOD MOST IMPORTANT COMPLETE THE ASSIGHNMENT

THANK YOU FOR THE COURSERA COMMUNITY

This course definitely helps guide you through some basics of Python but it really is up to you to practice on your own in the labs. The video lectures with the diagrams and the voiceover are extremely helpful. Overall, I'd recommend this course to any beginner who is looking to learn Python.

It was a good course. Not that. I leaned lot but I believe I haveth to learn bit more on Functions, API Calls and applications of different API to match with parameters.

However the instructions were good, understandable and lucid in substantiation. Helpful are the aspects of taking Notes.