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Avis et commentaires pour l'étudiant pour Exploration analytique de données par Université Johns-Hopkins

4,950 notes
704 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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226 - 250 sur 676 Examens pour Exploration analytique de données

par Changkeun K

Jul 18, 2017

the basic class of data analysis.

par Alzum S M

Jul 06, 2018

It's a great course. Thanks to mentors for their efforts.

par Christopher B

Jan 03, 2017

A nice overview of data exploration techniques.

par Muzaffar H

Aug 29, 2017

Extremely useful for me when doing my analytic works and few workaround on the programming level.

par Sherrod B

Aug 11, 2017

Peer reviews of other people's work extremely helpful. Learned more from that than any other part of the course. Thanks.

par Aleksander Z

Feb 13, 2017

Thank you very much. I enjoyed the course a lot. I recommend it!

par Kumaraguru

Nov 30, 2016

Good course worth taking

par Nataliia M

Jul 14, 2017

Nice course

par Atul G

Jan 29, 2018

It helps lerner to know whether the capture data can help him to get answer to his question.

par Marat K

Dec 02, 2017

Very good introduction to Exploratory data analysis for beginners, the material is structural, lectures are interesting and useful

par Kathleen

Apr 20, 2018


par Jordi A C

Jan 24, 2017

Very interesting course on plotting with R and much more! I've enjoyed it.

par Lloyd N

Dec 20, 2016

This course is excellent in that it gave a great introduction to the plotting functions in R. They also introduced singular value decomposition, which is a concept that is interested but wish the course went deeper into.

par Ryan C Y H

Jul 02, 2017

Taught useful things!

par Adi T

Jan 21, 2017

It starts to get a little more technical and complicated when I reach Week 3. A lot of things about Dimension Reduction and K-means method. I would love to have some assignments or exercises on that.

Other than that, I love this module.

par Sai P G

Jun 12, 2017


par Shreya S

Apr 21, 2017

A good one

par Saurabh S

Mar 11, 2018

good course of learn

par Adán H

Oct 05, 2017


par Tejus M

May 25, 2018

This course is the first real step from using R for basic data manipulation/stats, to using it for advanced stats. However, the videos on PCA (principal component analysis) and SVD (singular value decomposition) were difficult to understand, and I had to view several videos on YouTube (e.g., StateQuest or Standord U) that do a far better job of explaining. Once I did that, the course videos seemed to make more sense.

par 吴昊

Apr 29, 2018

Very good course. I learn how to do the exploratory analysis

par Berthold J

Apr 25, 2017

Very instructive!

par Khairul I K

Feb 09, 2017

2 thumbs up

par 赵东昱

Dec 04, 2016

Excellent course, I really enjoy it

par Leopoldo S

Sep 27, 2016

Really great and useful stuff