Chevron Left
Retour à Exploration analytique de données

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

4.7
4,974 notes
707 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

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.

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!

Filtrer par :

401 - 425 sur 679 Examens pour Exploration analytique de données

par Fernando R A

Oct 23, 2017

Great ideas around exploring data quickly and efficiently!

par Nils N

Sep 26, 2016

If you get data, take this course! You will love the course and your data!

par Chris B

Jan 12, 2017

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.

par Satya N C

Sep 16, 2016

Excellent

par Benjamin S

Mar 28, 2016

Love it, very helpful course for graphs and clustering!

par Bivas M

Apr 21, 2018

Great course. Most helpful was the swirl exercises.

par Rodrigo R

Mar 30, 2016

Very good course! It's the hardest yet on the Specalization

par Sean N

Feb 15, 2017

A nice introduction to operating on Data sets. Clear examples, interesting projects.

par Christopher G

Aug 17, 2016

Very interesting content- going to be useful in my career

par Ghazouan S

Oct 03, 2016

I love all those courses, I have learned so much and I'm planning to complete all 10 units.

par James W

Sep 07, 2016

Really nicely explained, learned so many useful methods for data analysis in R. The dimensionr reduction and principal component analyses walkthroughs were a little tricky for a newbie in those areas though.

par Yasel G S

Aug 04, 2016

This course was very important for my work. I learned so much and I want to say thanks to the professors.

par Leopoldo S

Sep 27, 2016

Really great and useful stuff

par Yi-Yang L

Mar 17, 2017

Favorite course until now in this track. The visualization is very helpful for both academics and career.

par Jishan H

Apr 04, 2017

Great course!

par 刘治

Jul 18, 2016

good

par saroj r

May 14, 2016

i like it

par Abhishek B

Dec 21, 2017

Great work on graphing & charting

par Kevin Z

Oct 23, 2016

It's extremely useful to learn how to make plot using R

par Eric T

Apr 24, 2017

Very helpful class.

par Philippine R

May 22, 2017

This was a really useful module. I keep referring back to it.

par Abhinav K

Jun 10, 2016

Don't wait!!! just enroll

par Pratik P

Feb 02, 2017

Useful :D

par Albert C G

Sep 02, 2016

Great Course

par BAUYRJAN J

Nov 01, 2016

Great course