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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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351 - 375 sur 676 Examens pour Exploration analytique de données

par Danish K

Nov 09, 2016

Awesome and must take course!!

par Junxue Z

Jul 09, 2018

Clear slides, inspiring lectures.

par Bhargava B

Apr 02, 2018

This course really helps you to learn the fundamental exploration techniques. The assignments and the examples are really helpful.

par 刘治

Jul 18, 2016


par Jishan H

Apr 04, 2017

Great course!

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 Nestor S

May 18, 2016

dplyr !

par Rafael L G

Jun 06, 2017


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 Christopher G

Aug 17, 2016

Very interesting content- going to be useful in my career

par Javier R P

Nov 29, 2016

Excellent class!

I totally recommend it

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 Denise O

Apr 04, 2016

Great practical lessons on using plotting in R to analyze the data.

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 kathy0305

Jun 01, 2016

I enjoyed this course.

par Rishabh J

Aug 22, 2017

I found Prof. Roger Peng to be the best instructor in this specialization. This course just proves my point further. He teaches different concepts in a lucid manner. These concepts were presented in a way that could be applied to real world data sets right away. Awesome course!

par Ganesh S

May 27, 2016

Awesome course.

par Jorge E M O

Jul 21, 2016

A very good introduction to the exploratory analysis and the R's plotting systems. The most advanced exploratory techniques (singular values decomposition, etc.) are not explained in depth but the overall role that these kinds of statistical learning techniques plays in the exploratory analysis is firmly established.

Great work with the course!

par Satya N C

Sep 16, 2016


par Govind N

Aug 10, 2016

Good course

par Na K L

Dec 05, 2016

Engaging main instructor and structured lecture notes