Very good course. I wish there were more hands on exercises. We only had a chance to practice in one lab per module; otherwise, I learned a lot.

Great course to start learning python applied to analysis, but after this, I prefer to use R. Less complicated and can obtain the same results.

I find this course useful. But some of the contents are little advanced all of a sudden and feels some important explanations are not covered.

Through out the course i have learned alot like data visualisation mainly.I think i have completed successfully basics for machine learning.

I feel like this section needs some more hands on labs. Great topic over view and application. Not to much in the way of math unfortunately.

Good course for beginners. Can introduce little more concepts such as multi-collinearity, model accuracy etc to make it even more complete.

A great explanation of the concepts and methodology in data analysis , i wish we couldve gotten more peer reviews like the last excercise

It was a good course overall. Would prefer explanations at a slower pace and more examples for each of the techniques explained.

Thank you!

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.

Learned a lot about statistical analyses in this course, but the easiness of the assignment and grading quizzes make it unfulfilling.

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.

Give a general overview of how to do data analysis with a brief intro of how to apply machine learning in a real life scenario.

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.