I started this course without any knowledge on Data Analysis with Python, and by the end of the course I was able to understand the basics of Data Analysis, usage of different libraries and functions.
perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease.
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).
por Prasad T•
need better practise questions preferably to write program instead of multiple choice answers plus needed more theory of the topics given
por Jonathan B•
Great material. Very comprehensive. The only knock is sometimes the slides, notebooks, and quizes have typos or are not super-organized.
por Aurelio L G•
Una visión muy amplia con acercamiento a una amplia variedad de herramientas. Faltan más ejemplos de uso, ejercicios y casos prácticos.
por Subhasish D•
The learning are too basic, trust me in real world things are much critical. Probably coursera can help us with that kind of knowledge
por William O•
One the greatest course of Data Analysis. The info given about statistics is very important and accurate.
Thank you to the instructors.
por Matthew A•
The more advanced portions of the course felt a bit rushed without enough examples and hands-on work to really reinforce the concepts.
por In W C•
Other than some minor errors and bugs, I think this course gave good introductory material that can be supplemented with other books.
por Cindy N P P•
There should be another grading method for the final task, that a system is in charge of assigning the grades, not other classmates
por Oscar J C•
The course is well designed, however, in some videos exist misspelling functions that may confuse when you try to test on your own.
por Sujith K S•
Seemed a bit rushed towards the end. Advanced topics such as pipelines, polynomial transformation, etc were not explained clearly.
por 255847 r•
content is great.playback speed can go bit slow for students like me from India language is bit hard to understand at that speed.
por Tsungai J M•
Some areas were a bit complex and required additional reading outside of the content provided but overall I enjoyed the course.
por Marc S•
Great course explaining some data analysis techniques. Some minor errors in voice track and material, but overall good content.
por Jorge I L C•
muy bueno, este curso deberia ser el 2do o tercero en esta seccion, se ve bastante de lo que usa un data science normalmente!
por RANGA D•
Good for an individual who is passionate about data science
Thanks course era for providing the course
por RICHARD D•
This course give a brief Understanding Of Data Analysis with python. Thanks to the IBM for making us part of The IBM family.
por G D•
This is the good course for beginners. Great Explanations for pandas, EDA and scikit learn model analysis. Good to try this!
por Rohan B•
This is an excellent for anyone who wants to learn about analyzing data and preparing and training the model,visualizing it.
por Mohnish M•
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
por Alexander T•
Very clear and effective course to get the basic principles of performing Data Analysis with Python. Highly recommendable.
por Akshay B•
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.
por Declan H M G•
Well structured, good detail. Lacking a peer graded assignment at the end to really put our skills to the test though.
por Vivek K L•
This is a tough course for beginners. So instead of playing a presentation they should look up for a good instructor.