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

5,613 évaluations
807 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


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.


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!

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701 - 725 sur 778 Avis pour Exploration analytique de données

par anand

Dec 30, 2018

Good course

par Praveen k

Oct 02, 2018

Nice course

par Divvya.T

Oct 29, 2017

good course

par Abhishek S

May 31, 2017

good course

par Ussama N

May 21, 2017

Good course

par 贝叶斯统计

May 23, 2016


par Colin Q

Jun 02, 2017

very good!

par Jeremy O

Mar 10, 2017


par Timothy V B

Dec 29, 2016

good intro

par Johnnery A

Nov 17, 2019


par Khobindra N C

May 18, 2016


par Rohit K S

Sep 20, 2020


par Tae J Y

Apr 01, 2017


par Edward A S M

Dec 05, 2019


par 木槿

Nov 02, 2018


par Anup K M

Sep 27, 2018


par Isaac F V N

Apr 19, 2017


par Chan E

Mar 22, 2016


par Adur P

Dec 28, 2017


par Saurabh K

Apr 27, 2017


par Deepak R

Oct 02, 2016


par Jose O

Feb 11, 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

Aug 24, 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

Jun 10, 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

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