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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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276 - 300 sur 679 Examens pour Exploration analytique de données

par Kristin K

Aug 10, 2017

Very helpful course. It is the type of class that gets you excited for the new things you can do.

par Sandeepkumar P

Feb 02, 2016

Wonderful course with lot of graphical representation of the data. Dimensional reduction and Clustering analysis needs a bit more detailed explanation.

par Mengyin B

Sep 07, 2016

helpful.

par Maurice E

Sep 27, 2017

Very fun and challenging course.

par Dandy M H

Apr 17, 2016

Really useful and easy to understand

par Iphigenia-Danae K

Jan 30, 2017

Awesome course, with a very detailed step by step approach

par Anusha V

May 30, 2017

Amazing course. challenging and you learn a LOT (particularly about graphics tools in R).

par Anthony C C

Sep 27, 2017

I was able to learn the material presented over the time of the course. It's a lot of material to cover in the time I could commit to it but I feel confident using the tools and methods presented. The projects were very valuable both from getting to practice the methods and tooling and also from seeing how other students approached the solutions. I really helped put all the options into context and highlighted the value of using the different tools and where to use them. Only knock would be sometimes the background noises in the videos were distracting.

par Arushi A

Nov 25, 2017

Amazing course content and assignment :)

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 Wassim K

May 25, 2017

very nice

par Alfredo A

Feb 06, 2018

This was a great course. I learned how to use several graphic systems within R, and to imagine how to make clear answers to questions using plots.

par Venkatesh

Jul 01, 2017

Very interesting way of representing data in pictorial form using R as tool

par 陈睿

Mar 03, 2016

a great course

par Xray W

Feb 22, 2016

Pretty useful introduction to various plotting tools and some deep down insights as well.

par Luong M Q

Mar 20, 2017

Very fruitful course on how to approach issues and use plots to deal with it

par Nicolas B

Sep 06, 2017

Excellent course!

par Rodney A J

Jun 17, 2017

Great course. This course required us to create multiple plots using different R libraries created for the purpose. Although ggplot2 seems to be very popular, the base plot system and the lattice plot system provide compelling alternatives.

par Viktor S

Jun 22, 2017

Excellent course!

par Dhananjay M

Apr 30, 2017

This course if very helpful. Lectures and assignments provide a great opportunity to gain hands on experience.

par Jhon A M L

Oct 19, 2016

Great!!

par Ted M

Oct 05, 2016

The lectures in this course included theory and examples on PCA and SVD - however this was missing from the practical materials

par Arindam M

Jan 06, 2017

A great course. I was hoping to get some more hands on the actual case study though. It was mentioned that Exploratory Analysis is some times intertwined with modeling - and I think in later course it might get covered. But just a glimpse of the relation in the case study would have been helpful.

par Meng Q

Aug 23, 2016

Well designed!

par Emily

Nov 20, 2017

very good course