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

4.7
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

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!

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251 - 275 sur 676 Examens pour Exploration analytique de données

par Nestor S

May 18, 2016

dplyr !

par Rafael L G

Jun 06, 2017

great

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 Abhinav K

Jun 10, 2016

Don't wait!!! just enroll

par Pratik P

Feb 02, 2017

Useful :D

par Guillermo S R P

Sep 07, 2017

Excelente!!!

par Sachin R

Dec 19, 2016

Very well designed and delivered course.

Glad to be associated with Coursera.

par swetha

Jul 11, 2017

Excellent Course

par Silvia Y B V

Jul 04, 2017

Good course!

par Aboobacker

Jun 14, 2017

good learning experience

par Rahul P

Jan 17, 2018

Good Course!!! Didn't know anything about R Exploratory Data Analysis before but now it seems easy..

par Eliomar F

Feb 26, 2018

Excelente curso.

par Ajinkya D

Feb 02, 2017

Well Structured Course, Learnt a lot from it

par Johann R

May 28, 2017

Graphs and plotting is at the heart of data analysis and data science, and without it you would have difficulty conveying ideas, and having graphs to explain numerical/statistical data is always handy. Visual representation of a data set, and using visual cues to gain an understanding of data, can save a lot of time, and can help you gain additional insights into the data. This course teaches you key techniques on how to apply some graphing and plotting methods to visually explore data, and it does so really well and in great detail, and also provides some good demos.

par Bhagya L P R

Jul 22, 2017

Very informative

par Mohammad S

Jul 26, 2017

Awesome !!!

par Ismelda M

Feb 07, 2017

Excellent course

par 邱培培

Dec 24, 2016

This course is very helpful. Thanks for the teachers of this course.

par Zhang M

Apr 25, 2017

Very helpful!

par Massimo M

Aug 28, 2017

Great course, very useful exercise and case study.

par Mingming Q

Feb 23, 2017

very good

par Samiul A

Sep 13, 2016

Nice lectures. Projects are very interesting.

par 朱荣荣

Mar 09, 2016

good

par Paul A

May 23, 2016

Excellent course. Very accessible yet an extensive overview of techniques in exploratory data analysis.