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.

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.

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 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 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.

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

Very good course, you can gain a lot of knowledge through well explained videos and labs.

One small issue though. There's a reference in the final Lab to a tutorial called PROVISIONING AN OBJECT STORAGE INSTANCE ON IBM CLOUD. This tutorial was not previously mentioned at all throughout the course.

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.

The content was evenly spread out throughout the lessons, I am a programmer so I think I had an advantage, but this was a challenging course considering the amount of diffrent technologies involved.

I appreciated very much the succint explanations....objects in Python in a 10 minutes video ;)

Excellent way to kick start Python learning, I think the best things here was the labs which use to demonstrate how things are working.

A Tip for learners : If you take everything too easy and not focus you will be spending whole weekend to find out issue was due to a missing semi colon :)

Literally an amazing course! I'm so thankful that i get this course and learned so many things which i don't know about the python and data, though i don't know it's my luck or opportunity that i get this course as an a knowledge. So thank you coursera for this excellent session/course.

I think it is a fundamental course for Python elementary learners. The instruction is very detailed and complete for Python basic. And I believe that through the gradual studying in the following lessons, your analytical and programming capacity will be leveraged and enhanced. Thanks.