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

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.

This is good to understand and plot the data using Python. Most of the course and test are revolve around statistics.

Good tool with little mistakes.

The quizzes are too easy

Hope can code the whole project not a part of the vital codes

It's an amazing course but I think there should more theoretical information about Linear and Polynomial regression.

The course is very interesting with a lot of detail but it doesn't but it is to short for all the matters it covers.

This course has really helped me boost my confidence levels in handing data with Python. Thanks for the instructor.

Muy acertado en los temas tratados, agregaron al final del curso los subtitulos en español por lo que se agradece.

Well organized topics with pretty sufficient instruction. The more advanced coding only got a cursory explanation.

Very good course, it goes straight into the useful tools and concepts in regards to data analysis and prediction.