Chevron Left
Retour à Exploration analytique de données

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

4.7
étoiles
5,268 évaluations
750 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

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!

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.

Filtrer par :

501 - 525 sur 721 Avis pour Exploration analytique de données

par Sinan J H

Feb 22, 2016

perfect

par Vivekananda R C

Feb 08, 2016

So nice

par George O O

Apr 24, 2018

Great!

par Kathleen

Apr 20, 2018

Great!

par Xiao W

Oct 27, 2016

Thanks

par Robert J C

Jul 25, 2019

Good.

par Adán H

Oct 05, 2017

Good!

par Rafael L G

Jun 06, 2017

great

par Zhao M

Nov 01, 2016

good.

par Marco A P N

Jun 02, 2016

Great

par Yusuf S

May 20, 2016

great

par Pitak P

Oct 04, 2019

Good

par Razib A K

Dec 18, 2018

good

par Ganapathi N K

May 01, 2018

Nice

par Jay B

Aug 15, 2017

good

par Saurabh G

Apr 14, 2017

nice

par Larry G

Feb 07, 2017

Nice

par 刘治

Jul 18, 2016

good

par Prakash M S G C

May 24, 2016

Good

par 朱荣荣

Mar 09, 2016

good

par Amit K R

Nov 21, 2017

ok

par Ganesh P

Nov 29, 2017

V

par Wei W

Sep 11, 2017

C

par Balinda S

Dec 11, 2016

T

par Phillip K

Mar 20, 2018

Good stuff just as I have come to expect from this University and the courses that are part of this Signature Track.

A great deal of the lectures and work on assignments/quizzes/projects was learning and using the various plotting systems in R. Certainly this is important, but to put it into perspective, I spent four hours creating six plots for the final project, when I was able to use Tableau Desktop to create all six plots in under five minutes.

So formally learning the data exploration techniques was good, but expect much of this course to be about learning the R plotting systems.

That said, there is a point in this course (and the first time for all the courses to this point) where the topic suddenly got very, very technical. When clustering techniques were introduced it felt as if you were turned on your head as the focus suddenly went from various ways of plotting data in R to being neck deep in the explanation of clustering techniques that require a great degree of Linear Algebra knowledge.

Don't panic though. While there are questions in the guided assignments that are difficult, you don't really need to recall all of your Linear Algebra courses from college to pass this course. After all, R "has a package for that."