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

4.7
4,944 notes
703 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.

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126 - 150 sur 676 Examens pour Exploration analytique de données

par Kristin A

Oct 31, 2017

Learning how to make plots and play with the data is where data science finally started to get fun!

par Emmet C

Jan 09, 2017

Excellent introduction to various graphics packages in R. I've already been able to apply these skills in my job.

par Ivan G

Nov 15, 2016

Fun and good approach on exploratory data analysis

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.

par xuwei l

Sep 22, 2016

very useful course

par Roberto D

Nov 21, 2016

This class gave me insight on how to better analyze questions. My faults arose when trying to present to much information which may have caused confusion or even disinterest. The main point is to convey results in a simple and understandable manner. Good class lots of practice.

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 Dimitrios G

Mar 21, 2017

Great course, really gives an insight on how you can get a set of data and actually make some sense from it.

par Tim S

Apr 19, 2016

For someone new to data analytics, this was another great, rewarding course. But as with the others, it demands exploration beyond the lectures and course materials.

par k.saikiran r

Jun 30, 2016

This course served as a great introduction to R and helped me to get ease with R

par Calypso F

Mar 23, 2016

Great course!

par Amith H

Feb 09, 2016

A Must have course for beginners in Data Exploration and Analysis. The best part is that exposure to these amazing concepts in R.

par William G C

Jan 20, 2017

This is a great course! I really enjoy the pace. Plus, the real world application isn't a bad thing at all either!

par Marco B

Jan 15, 2017

I love this course!

par ooi s m

Jun 10, 2017

great course for fundamental exploratory data analysis, good starting point for using R to do basic analysis

par Yang L

Apr 17, 2017

Good course.

par Sam J J

Dec 15, 2017

Excellent!!

par Mauricio C

Jan 27, 2018

Great tools and insight to start exploring Data. Also great stuff to practice previous training on Data Science.

par Ahmed M K

Jan 08, 2017

What a wonderful course to undertake. On my way to take all 10 courses :D

par Lee Y L R

Jan 05, 2018

A very good and concise course, with useful tools to explore data visually!

par rishav j

Oct 06, 2016

Well structured and very informative

par BOUZENNOUNE Z E

Mar 10, 2018

That's a wonderful course, especially if you take it with the specialization, and also better if used with the recommended books. I highly recommend, but once you finish it, you should continue to work on your own ;)