Comentários e feedback de alunos de Análise de dados com Python da instituição IBM

Content : 5/5

Labs : 5/5

Final Assignment : 3/5 (It was quite easy to complete as there we instructions and code already written for you).

need better practise questions preferably to write program instead of multiple choice answers plus needed more theory of the topics given

Great material. Very comprehensive. The only knock is sometimes the slides, notebooks, and quizes have typos or are not super-organized.

Una visión muy amplia con acercamiento a una amplia variedad de herramientas. Faltan más ejemplos de uso, ejercicios y casos prácticos.

The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge

One the greatest course of Data Analysis. The info given about statistics is very important and accurate.

Thank you to the instructors.

The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.

Other than some minor errors and bugs, I think this course gave good introductory material that can be supplemented with other books.

There should be another grading method for the final task, that a system is in charge of assigning the grades, not other classmates

The course is well designed, however, in some videos exist misspelling functions that may confuse when you try to test on your own.

Seemed a bit rushed towards the end. Advanced topics such as pipelines, polynomial transformation, etc were not explained clearly.

content is great.playback speed can go bit slow for students like me from India language is bit hard to understand at that speed.

Some areas were a bit complex and required additional reading outside of the content provided but overall I enjoyed the course.

Great course explaining some data analysis techniques. Some minor errors in voice track and material, but overall good content.

muy bueno, este curso deberia ser el 2do o tercero en esta seccion, se ve bastante de lo que usa un data science normalmente!

Good for an individual who is passionate about data science

Thanks course era for providing the course

#datascience enthusiast

This course give a brief Understanding Of Data Analysis with python. Thanks to the IBM for making us part of The IBM family.

This is the good course for beginners. Great Explanations for pandas, EDA and scikit learn model analysis. Good to try this!

This is an excellent for anyone who wants to learn about analyzing data and preparing and training the model,visualizing it.

It was good, could've been a little for detailed and with a few more examples but it was still great and easy to understand

Very clear and effective course to get the basic principles of performing Data Analysis with Python. Highly recommendable.

The course content is good. However, some ready to use short notes type material should be provided for future references

Actually I don't think there are enough coding practices, but the videos are great learning materials for new starters.

Well structured, good detail. Lacking a peer graded assignment at the end to really put our skills to the test though.

This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.