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

4,943 notes
703 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


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!


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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151 - 175 sur 675 Examens pour Exploration analytique de données

par abhishek p

Jun 29, 2018

very well explained .

par Andrew M T

Nov 12, 2017

Brilliant dive into the basics of exploratory data plotting. A very useful course for data science beginners.

par Nannette O S

Apr 16, 2018

Great course. The case studies are extremely helpful as well as the SWIRL exercises.

par Stefan P L

Feb 09, 2018

Overall good course! Though I hope there is more exercise in SVD/PCA part

par Tan S L

May 10, 2017

Useful course but it is quite intense

par Keidzh S

Apr 04, 2018

Effective and very different.

par A. R C

Jul 03, 2017

I enjoyed it a lot. Thanks to the teachers.

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 Shreya S

Apr 21, 2017

A good one

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 Mingming Q

Feb 23, 2017

very good

par SagarSrinivas

Sep 11, 2017

Quite Happy! for Crediting the Course

par Marildo G F

Aug 27, 2017

Excellent course. The teachers are great.

par Alzum S M

Jul 06, 2018

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

par Maggie L

Aug 21, 2017

clustering and svd are quite c

par Jeffrey G

Jul 06, 2017

Great course. Really does a good job of describing the goal of EDA and getting people excited about what questions you might be able to answer with data.

par Md G M

Jun 04, 2018

Course materials and video are really good and easy to understand.

par Silvia Y B V

Jul 04, 2017

Good course!

par Aboobacker

Jun 14, 2017

good learning experience

par Wei W

Sep 11, 2017


par Sam M

Jul 09, 2018

Very good course!

par Luis M M R

Jan 21, 2018

very good.


par Djafer T

Mar 05, 2018

Excellent course!