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

I have passed few courses as python for everyone (amazing course), but was stopping the course due to moving to new country, enough stress to be distracted :-)... Now, as we were been told to stay home as much as possible, the time has come to re-kindle my passion, Python!. Brilliant course due to your simple explanation knitted with straightforward animation. Well done!

This is one of the best Data Science courses I have taken! It is marked for "five weeks" but can be done in a week for beginners. It teaches Python while breaking down complex data management tasks into manageable pieces. There were some typos and out-of-date links (warning was given) but nothing major. I definitely recommend this course to people new to Data Science.

Good Day

I sincerely thank Coursera and IBM for this opportunity .

Thanks and Warm Regards.

ABHIJIT SENGUPTA

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Not an easy course, yet a truly excellent one! It is a solid starting point on mastering advanced concepts related to understanding and using Python programming language to manage data. Not only you learn the Python libraries involved in data science, but also how to work work with APIs to connect to other platforms or web services to build a powerful application.

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.

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.

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.