糖心vlog官网观看

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

Una visi贸n muy amplia con acercamiento a una amplia variedad de herramientas. Faltan m谩s ejemplos de uso, ejercicios y casos pr谩cticos.

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.

Es un excelente curso, ya que est谩 muy bien estructurado. claro y sencillo; como lo es en el apartado te贸rico como en el practico.

Great course for stepping into Data science with Python as a Tool; need more scenario based quizzes and practice jupyter notebooks

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

Labs are particularly useful. Assessments could be more challenging but the course content and labs combination was very helpful

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.

The course was really good. But I would've liked to face more problem statements to practice what I was taught in this course.

Good Course. But many content's have been packed in this small one , I guess additional reading content could have been given.

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