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

4.7
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5,736 évaluations
829 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
23 sept. 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
28 juil. 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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676 - 700 sur 799 Avis pour Exploration analytique de données

par Ashish S

17 mai 2016

This would be very effective for my personal skill enhancement.

par Pierre D

3 févr. 2016

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

par Frederik C

23 mai 2018

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

par Richard D

12 juin 2017

Great overview, especially the parts on dimension reduction.

par YOGESH R

30 sept. 2020

sorry, but I didn't understood much from 3rd and 4th week..

par Sakshat R

3 juil. 2020

Really nice course! Great instructor and good case studies!

par Vebashini N

14 nov. 2017

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

par Paul M

2 juin 2016

Very good introduction to the various graphing systems.

par Dai Y

9 août 2018

Improvement should be done to the materials of Week 3.

par Giovanni M C V

16 févr. 2016

Excellent course with great didactic. Congratulations!

par jishuenkam

27 août 2016

Hopefully it could be clearer on dimension reduction.

par Murugesan A

22 mars 2017

Well crafted, carefully designed learning materials!

par Daniiar B

10 sept. 2018

NIce course, but the lectures are a little tedious

par Alan C

15 déc. 2019

Decent overview of the graphing fundamentals in R

par Shivanand R K

21 juin 2016

Great and Excellent thoughts and course material.

par Mohammad F H

15 sept. 2016

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

par Nilrey J D C

7 oct. 2019

This is a good introduction to do EDA using R.

par Ratnikov Y

27 mai 2017

Clustering is overwhelming field of knowledge.

par LIWANGZHI

20 sept. 2018

More instructions on SVD/PCA would be welcome

par Christoph G

12 juin 2016

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

par Freddy M C F

29 juin 2017

Very good Introductory Course. Thank you!

par Yash A G

6 avr. 2020

Clustering Should be explained in detail

par Kai C Y

25 mai 2016

More real data example is even better!!!

par Venkata S

26 mai 2020

Good Course to understand Data Analysis

par Kathy K

10 déc. 2016

good overview of how to make graphs!