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Volver a análisis exploratorio de datos

análisis exploratorio de datos, Universidad Johns Hopkins

4.7
4,387 calificaciones
635 revisiones

Acerca de este Curso

This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data....

Principales revisiones

por Y

Sep 24, 2017

Very good course! It provide me the foundation in learning how to plot and interpret data. This will definitely strengthen my "R programming" to generate publication type figure for my genomics data!

por CC

Jul 29, 2016

This is the second course I have taken from Roger Peng and both were outstanding. I have a strong math background, but not much of a background in stats, but this course was very approachable for me.

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607 revisiones

por Janet Aguayo Reyes

Mar 14, 2019

thank you

por Paul Ringsted

Mar 12, 2019

This course covers plotting (base, lattice, ggplot) then takes a confusing tour into heavy topics of clustering and dimension reduction, then flips back to coloring in charts. The order of the lectures is confusing and PCA/SVD needs more background, clearer explanation and treatment (gets covered a bit more later under regression). Assignments are good and swirl courses helped solidify the lectures.

por Mohammad Amir Aghaee

Mar 11, 2019

It was a very useful course with some meaningful homework. My only criticism is that sometimes the theory and the practice are not well connected. Particularly the discussion of PCA, hierarchical clustering, k-means clustering and others. It would be benefit by providing more meaningful reading for those interesting in better connecting the two

por Glenn Walters

Mar 02, 2019

I really enjoyed this course. I was a good reminder of what analysts need to do when looking at a new dataset. Dr. Peng does a great job walking through the steps and there is enough information given to enable the student to effectively explore on their own.

por Rizwan Mohamed

Mar 01, 2019

please provide some practical problems with answers to practise before attempting the assignments

por Abhay Srivastava

Feb 24, 2019

awesome....

por RobinGeurts

Feb 21, 2019

End assignement was relatively easy compared to the examples in the lectures

por Cynthia Mcgowan Poole

Feb 21, 2019

I learned so much in this course.

por Rooholamin Rasooli

Feb 16, 2019

I learned a lot from this course. Content which the course covers was a third of what I learnt from this course. the best thing about it is learning the pattern of thinking about exploring a whole new dataset.

por Justin Angelo Bantang

Feb 14, 2019

Thank you for this course. I really learn a lot!