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.

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.

It's a fully packed concise coverage of Python in Data Science, AI related projects. Lot of concepts covered in five modules. Learners should refer to additional materials/ books for in-depth coverage and do additional practice to strengthen their understanding of the course topics. Highly recommended course.

Me parece adecuado y con contenido de calidad, sin embargo en momentos estaba desorganizado, ademas de ser necesario explicar la descarga del programa puthon y las bibliotecas a utilizar. Para mejorarlo aconsejaria poner mas ejercicios en los laboratorios puesto que habia algunos sin ningun ejercicio practico

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.

This course was really helpful. Instructors have put a great amount of energy, time and effort to make this course valuable and enjoyable at the same time. Learned Python Programming for Data Science and Data Engineering. Now excited about Python Project for Data Engineering. Thank you so much for the help.

Very informative and educational course, I have had a few experience in Python Programming before but this course introduce me a very interesting aspect of it, which is web-scraping. But I recommend anyone taking this course take it slow because it can be very different to understand for newbie. Good luck.

Amazing. I had previously learnt all the content so I went straight to the Graded Quiz section in every module to gadge myself. Based on the results of the Graded Quizes I went to learn what I really needed. The course was very good as it helped me refresh my memory on some key areas I was abit rusty in.

Amazing course and labs were very helpful. My one issue is that for beginners the timeframe is not accurate. This is a lot of information and coding to memorize and some of these labs say "15 min" but in reality it took me over an hour to learn and understand the concepts/syntax and then make notes of.

It is a very intersting and highly motivating kind of courses that let equipped me with a lot of outstanding ways of coding styles. It helps me with so many python libraries and how they works with their set of application in relation to data sciences. I really apperciate IBM and Corsera. Thanks a lot!

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!