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

5,836 évaluations
845 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

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.

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!

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676 - 700 sur 814 Avis pour Exploration analytique de données

par Mario S P G

17 sept. 2018

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

par Polina

25 avr. 2018

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

par Jan W

14 févr. 2021

Learned a lot, the cluster and kmeans could have been more explained though

par Gao Q

23 juil. 2018

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

par Mario P

20 janv. 2018

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

par Olga H

22 sept. 2017

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

par Andrew W

19 mars 2018

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

par Carlos L

22 juin 2016

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

par Caio H

22 avr. 2020

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

par Anirban C

19 juil. 2017

Nice course! Assignments could have been a little more challenging

par Ankit A

16 déc. 2016

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

par Jeff B

4 mars 2018

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

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.


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 Rajeev D

17 févr. 2021

It was a great experience to complete such a good course.

par Sahil S

24 janv. 2021

Best course of the 4 taken so far in this specialization

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.