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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!

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326 - 350 sur 679 Examens pour Exploration analytique de données

par Diqing F

Aug 23, 2017

The course is interesting and values practicality. The exercises and the projects really helped me a lot in grasping the knowledge!

par Krishna K

Apr 02, 2017

Good Content

par Nitika S

Jul 11, 2017

Very good material and structure of course! Thanks a lot.

par Erika G

Feb 06, 2016

I learned a lot and the assignments were the right kind of challenging.

par Carlos R O

Dec 26, 2016

Very Nice!

par Do H L

May 18, 2016

This course is really awesome!

Highly recommend. You'll learn all the data visualization techniques in this course.

par Leonardo M d O

Nov 07, 2017

Excellent course. I learned more than I expected. A technique that was always at hand but never used: perform analysis through graphics exploring countless variables at a single time.

par Samir Y

Feb 25, 2016

Very good course for doing practical data analysis.

par Pramod N

Jan 15, 2016

much better presentation

par Selcuk F

Apr 12, 2016

Great course, lots of good things to explore!

par Prakash M S G C

May 24, 2016

Good

par danxu

May 22, 2016

Very useful !

Teacher is awesome, statement is clear and simple.

love this course!

par Edgar H R L

Jun 07, 2016

Excelent course.

par Nathan M

Jun 11, 2016

Nice introduction to graphics in R!

par Araks S

Jun 20, 2017

Great course, an excellent instructor who makes the videos easy to watch and listen.

Assignments were very important to me, as I learned a lot while doing it.

par Cristóbal A

May 17, 2016

Material de muy buena calidad y a pesar que en ocasiones solo cumple un rol introductorio, el curso no deja de lograr con una simpleza reveladora la construcción de una base solida que luego sirve para profundizar en las herramientas presentadas.

Recomendado 100% y acorde a lo que propone.

par Marcelo G M

Feb 28, 2016

Very good

par Dan K H

Mar 28, 2016

Excellent course, Rogers enthusiasm shows truly through to his speed-talk :-)

par TARUN S

Apr 29, 2017

I really appreciate the course design. Even if somebody doesn't have much background in R, she/he can comfortably learn from the videos and understand the concepts. The exercises and project assignments are challenging and actually help you practice and re-visit the lectures and explore further. Though I had already known and used Clustering, PCA and SVD in my work before, I really liked the way these concepts were explained here. I would strongly recommend this course to anybody who is keen to see R in action!

par Laura B

Jul 07, 2017

Good info. But I would like to have reminder emails for the due dates.

par Zhao M

Nov 01, 2016

good.

par Manuel A A T

Mar 27, 2016

This is a great introductory course on the topic and on R language.

You will get acquainted with basic R functions which are most useful for initial statistical analysis.

par Michael R

Jan 08, 2016

ggplot2 module was extremely helpful

par Imran A

Jan 18, 2016

Very nice course, plotting data to explore and understand various features and their relationship is the key in any research domain, and this course teaches the skill required to achieve this.

par Alberto T

Jun 15, 2016

Excellent course. Nice lectures to guide to graphics use in data presentation.