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Avis et commentaires pour d'étudiants pour Exploration analytique de données par Université Johns-Hopkins

4.7
étoiles
5,145 évaluations
727 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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576 - 600 sur 699 Avis pour Exploration analytique de données

par Sawyer W

Aug 02, 2017

Good course. Mostly focuses on how to visualize statistics from the data quickly.

par Shuwen Y

Jun 11, 2016

great course but wish to have more materials or explanation on svd and PCA part.

par Philip E W J

Mar 21, 2017

Would have needed a litle more in depth explanation of the clustering analysis

par Subramanya N

Dec 12, 2017

ggplot should have been given more emphasis. It warrants a course on its own!

par Greg R

May 31, 2016

Pretty good course. Nice content. Middle section on clustering felt random.

par Pavel B

Feb 18, 2016

I like the course and it was helpful in understanding how graphics work in R.

par RobinGeurts

Feb 21, 2019

End assignement was relatively easy compared to the examples in the lectures

par Mario S P G

Sep 17, 2018

Good beginners course with helpful tools to take a first glance to your data

par Polina

Apr 25, 2018

Nice course, very useful. I wish the links were updated more often, however.

par Gao Q

Jul 23, 2018

Great content for beginners to get familiar with various graphic tools in R

par Mario P

Jan 20, 2018

I suggest to shift a little more the focus on svd and clustering techniques

par Olga H

Sep 22, 2017

Good course, would have likes more practice & testing on the clustering stu

par Andrew W

Mar 19, 2018

Challenging but great fun and really helped me to get more familiar with R

par Carlos L

Jun 22, 2016

swirl is very used in this course. It is one of the best tools to learn R

par Anirban C

Jul 19, 2017

Nice course! Assignments could have been a little more challenging

par Ankit A

Dec 16, 2016

The exploratory part was very good. But, PCA was a waste of time.

par Jeff B

Mar 04, 2018

The plotting aspects of this course appealed to my visual sense.

par Ashish S

May 17, 2016

This would be very effective for my personal skill enhancement.

par Pierre D

Feb 03, 2016

More challenging Problem sets, as in the R Programming course !

par Frederik C

May 23, 2018

High quality course, but the order of lectures is not perfect

par Richard D

Jun 12, 2017

Great overview, especially the parts on dimension reduction.

par Vebashini N

Nov 14, 2017

Thank you, i learnt a lot and will continue on my journey.

par Paul M

Jun 02, 2016

Very good introduction to the various graphing systems.

par Dai Y

Aug 09, 2018

Improvement should be done to the materials of Week 3.

par Giovanni M C V

Feb 16, 2016

Excellent course with great didactic. Congratulations!