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

4.7
4,972 notes
706 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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126 - 150 sur 679 Examens pour Exploration analytique de données

par Melissa H

Mar 07, 2016

Kick-started me into using graphs in R!

par Sylvio C N

Oct 03, 2016

Great course

par Jonathan S

Oct 11, 2016

Great Course, Swirl is really where the value comes from

par kevin c

Mar 29, 2016

This was an excellent course full of useful exercises, assignments and lectures. I took these classes for the data analysis

par Danish K

Nov 09, 2016

Awesome and must take course!!

par Dorian P

Jun 06, 2017

very nice course

par Camilo A A

Mar 01, 2017

Excellent course!

par David J G

Feb 03, 2016

I think this is a great course. I learned a lot about data plotting and some multivariate techniques for understanding underlaying patterns of the data.

par Luiz C

Sep 17, 2017

The graph tools presented in this course are very powerful

par Nikolai K

Nov 06, 2017

It helped me a lot!

par Himanshu R

Nov 30, 2017

A good, informative course, thanks a lot for the teaching.

par Tad S

Feb 01, 2016

If you know some R programming and want to learn how to generate plots for your data analysis, this course will give you a good start. I highly suggest doing swirl exercises after watching the lecture videos to reinforce your understanding of the course materials.

par Jay S

Jun 17, 2016

The course projects are interesting and challenging!

par Gioachino B

Jan 03, 2017

Excellent training! Lectures are easy to understand and let you focus on the subject.

par Sebastian R

Mar 07, 2017

Great to understand clustering analysis and create beautiful graphs

par Michell R M

Jul 10, 2017

Nice Course

par Joaquin M

Oct 07, 2016

Excellent course!

par Sai P P

Oct 01, 2017

Very insightful

par Fernando A F B

Jan 19, 2017

awesome!

par Rodrigo R

Mar 30, 2016

Very good course! It's the hardest yet on the Specalization

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 Sean N

Feb 15, 2017

A nice introduction to operating on Data sets. Clear examples, interesting projects.

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 James G P

Aug 19, 2017

Good Course.