I have basic knowledge in Python when I took this course but I still learned something from this like use of dictionaries, classes, and objects which I can use in the future for developing scripts for ETL/ELT processes. Also, the API intro is very useful and concise.

I particularly enjoyed using Jupyter notebooks for the labs. It was actually fun to introduce different variables to see what would happen to the output. Plus, it made importing libraries very easy, and helped me better understand them in general, particularly NumPy.

I really enjoyed the course!!They have put up a lot of efforts to feed the knowledge in us at the easiest level.I would also like to thank coursera for providing the "Financial Aid" which boosts my confidence by acquiring the certificate from the well renowned IBM.

This is a great course for a beginner, the illustrations and training are well structured for quicker understanding. The discussion forum allows for effective collaboration with like minds. Overall, the course is a great starting point for data scientist enthusiast.

The Course is designed and framed in a simplistic and ergonomically way easy to learn and understand.

Quiz questions are completely based on understandings from the course. And finally, the last analysis project gives a complete overview of what you have understood.

It was a good training course, with lots of good materials, visuals, and hands-on exercises. The integration of this course with IBM Watson is definitely an add-value. I did like also the possibility to share my labs to GIT Gist. I really recommend this training.

Outstanding curation of the material and presentation at a pace that was easy to understand. The optional part of the quiz was very difficult -- why make the user type in so many file names, parameters etc. to generate a URL -- that could all have been automated.

While a lot to ingest, the way the information is introduced, explained and then put into practice makes this a great course EVEN if you've already had previous PYTHON experience (like I did) I learned new things and understood many other aspects I didn't before

 It's a very good course, all the basics as well as advance level of python topics has been covered, all the topic data science like Pandas, Numpy and Matplotlib topics are also covered with a very good explanation of every topic, so would recommend to everyone.

primarily, I should thank Coursera for this opportunity. Great platform to learn python from scratch. moreover, UI is very useful for practical sessions. even though, non-coding background guys can able to understand easily. One of the best learning experiences.

I can't accept that I made it as far as possible ! I know learning the Data science and Python programming was a dream for me due to my financial problems. But my dream came true because of the Coursera team.

Thank you so much

Sher Abbas hailing from Pakistan

Great course and excellent pedagogy when organizing the information. What is shown in the videos is fully applied in the labs and delves into the things that the videos cannot show except in a hands-on environment. Really very grateful for everything I learned.

It's a complete basic course for data analytic. The exercise is great. The explanation in VDOs is easy to follow an illustrated. I think it is my favourite Python course so far. It helps me understand something that I don't understand from the previous course.

This course gives an perfect introduction to the basics of python for data science with the help of some python packages like numpy,pandas,mathplotlib etc, apart from this the course also gives brief understanding of using if,else,for loop,functions in python.

En el examen final, se obtuvo un puntaje, para dar clausura al curso. Es bueno, para lo que se desea, queda para uno, hacer más práctica para conseguir lo que realmente se desea con estas bases. Gracias por la oportunidad y los aportes que me generó el curso.

Great course! practical oriented via skills network lab. Labs provides hands-on experience to apply and test what you have learnt. I liked quizzes that keep me attentive during the videos.

Undoubtedly it was a great experience to learn python with this course.

Code is beautifully explained, Skill cloud lab is amazing to work upon. I can use jupyter notebook and Turi whenever I want to. I had a major problem installing Turi in my windows platfrom, version and resources never matched. Thank you IBM for this platform.

Never learned so much things in so short time. Thanks to the instructors for the amazing course and didatics used. The animations explaining each concept in each class was the cherry on top of it. Impossible not to understand. You're the best teachers ever.

Very nice introduction to Phython, with lots and lots of usefull examples, and also introduce you to some of the most important libraries from Phython will allow you to do a great number of things, from scrapping websites to analize big sets of data! 5/5

Very interesting. Adequate level to start using python.

The only section that I found less interesting was the section on APIs, the description of the code for the connection with the service providers was a little bit confusing.

Overall excellent course!

Very good course. I could not understand the loc and ilocs. and matrix multiplications and many more fundamentals of python coding. now I could understand well with all the practice labs. labs got my confidence back on python and numpy and pandas back.

it s really an amazing course that will build your first step to python programming in all thee domains and its not just a first step its an all course that teach you the whole using of python in the technology world.

Thank you so much for this course

Literally wow! I just completed this course and It is a very comprehensive course explaining of various concepts in python along with the libraries(pandas and Numpy) working with Apis and much more . I recommend this course to everyone. Happy learning

Excellent. I taught me things which I didn't know existed, haha! I am very grateful for the teachers at IBM for compiling the course material in such a graspable manner. There is a long way still to go. I hope to see you soon. Thank you once again. :)

Having taking the Machine Learning Coursera from Univ. of Washington, I left this was a much better explained and presented course explaining the information behind what was taught quite well. I could recommend this course to new Python programmers.