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

4.7
étoiles
5,623 évaluations
808 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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651 - 675 sur 779 Avis pour Exploration analytique de données

par Carlos L

Jun 22, 2016

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

par Caio H

Apr 22, 2020

Nice but the projects are way harder than the lessons and quizzes;

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 Sakshat R

Jul 03, 2020

Really nice course! Great instructor and good case studies!

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!

par jishuenkam

Aug 27, 2016

Hopefully it could be clearer on dimension reduction.

par Murugesan A

Mar 23, 2017

Well crafted, carefully designed learning materials!

par Daniiar B

Sep 10, 2018

NIce course, but the lectures are a little tedious

par Alan C

Dec 15, 2019

Decent overview of the graphing fundamentals in R

par Shivanand R K

Jun 21, 2016

Great and Excellent thoughts and course material.

par Mohammad F H

Sep 15, 2016

Very detailed. Like the case study by Dr. Peng.

par Nilrey J D C

Oct 07, 2019

This is a good introduction to do EDA using R.

par Ratnikov Y

May 27, 2017

Clustering is overwhelming field of knowledge.

par LIWANGZHI

Sep 20, 2018

More instructions on SVD/PCA would be welcome

par Christoph G

Jun 12, 2016

A nice coursera, but I was a bit lost SVD.

par Freddy M C F

Jun 30, 2017

Very good Introductory Course. Thank you!