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Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

5,885 évaluations
856 avis

À propos du cours

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....

Meilleurs avis

23 sept. 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!

28 juil. 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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751 - 775 sur 825 Avis pour Exploration analytique de données

par Praveen k

2 oct. 2018

Nice course

par Divvya.T

29 oct. 2017

good course

par Abhishek S

30 mai 2017

good course

par Ussama N

20 mai 2017

Good course

par 贝叶斯统计

23 mai 2016


par Colin Q

1 juin 2017

very good!

par Jeremy O

9 mars 2017


par Timothy V B

29 déc. 2016

good intro

par Johnnery A

17 nov. 2019


par Khobindra N C

18 mai 2016


par Rohit K S

20 sept. 2020


par Tae J Y

31 mars 2017


par Edward A S M

5 déc. 2019


par 木槿

2 nov. 2018


par Anup K M

27 sept. 2018


par Isaac F V N

18 avr. 2017


par Chan E

22 mars 2016


par Adur P

28 déc. 2017


par Saurabh K

27 avr. 2017


par Deepak R

2 oct. 2016


par Jose O

11 févr. 2016

Insights delivered by the course were great. However, I think it emphasizes too much the lattice and basic plot systems to the point it is redundant with functionality on ggplot. It should focus more on concepts and techniques for delivering richer and meaningful graphics using ggplot rather than talking that much about technicalities on the basic plot and lattice systems.

Assignments were too basic and don't reflect all the concepts learned in the lessons e.g. clustering, which I think are of great interest for researchers.

par Ahmed M

24 août 2016

The course is quite good and informative in the first two weeks covering a lot of information and a lot of exercises.

Week 3 is very unrelated and hard the videos and exercises are bad, and I had to do this part by myself again.

Also when we get to the final course project doesn't cover any of these techniques.

In my opinion, week 3 should be replaced with something more related to plotting systems and distributions, also one project would be enough.

par Andrew V

10 juin 2016

The course covers very limited subset of plots and mostly oriented to R-specific technical routines rather than overall approaches. Case-study example is helpful and contrary to the most comments I do appreciate the final course project: this how most problems are stated in real life. If you would like to cover more fundamental concepts behind exploratory analysis I would recommend other sources.

par Mohammad A A

11 mars 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

par Arne S

31 août 2019

did not like the swirl-tutorials. they were very tedious and sometimes labelled correct commands as false (e.g. when you typed = instead of <- for assigning a value to a variable)

also I was surprised that for a beginner programming course in R you had to apply specific functions such as grepl without the function being introduced in the course