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

4.7
4,944 notes
703 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

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!

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.

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176 - 200 sur 676 Examens pour Exploration analytique de données

par Rajlakshmi P

Apr 23, 2017

Excellent course, extremely practical and useful

par Alessandro S

Nov 23, 2017

Este é um ótimo curso, com referencias muito boas e o Swirl ajuda muito a treinar os conceitos.

par Steve C

May 16, 2016

Great course!

par Xiao W

Oct 27, 2016

Thanks

par Clare S

Mar 21, 2016

Really nice course. Good to put the graphics functions in R to use. I think it would be helpful to have a summary page somewhere that compares the format of how to generate simple plots using each of the 3 packages - just for reference.

par Vijay M

Apr 30, 2018

Great course to learn the basics of exploratory analysis using R

par xun y

Aug 17, 2017

The plotting system in R chapter is very useful.

par Roel P

May 05, 2016

Great course.

par Roman O B

Sep 10, 2017

Great overview on explonatory data analysis and preparing graphs in R. I could apply the now knowledge directly to my current work.

par Charles K

Feb 06, 2016

Covers all the basics of visualization in R. Well structured and there is plenty of opportunity to practice your newly acquired skills.

par Jaganath B

Nov 05, 2017

Recommended course for Beginners!!!!!

par Juan P S

Jan 12, 2016

Practical, applicable, best instructors

par Rodrigo d C

Jun 29, 2016

Great!! I highly recommend this course.

par Light0617

Aug 07, 2016

It is powerful and useful, In particularly for students!

par Qasim Z

Oct 26, 2016

Wonderful primer on how to get thinking creatively about data.

par Jeffrey G

Jul 06, 2017

Great course. Really does a good job of describing the goal of EDA and getting people excited about what questions you might be able to answer with data.

par João F

Nov 21, 2017

Excelent course! I learned to make plots with the base plotting system and with the lattice and ggplot2 packages. Challenging assignments. It was great to learn about clustering, dimensionality reduction, SVD and PCA since they play a very important role in Data Science.

par Apoorva S

Oct 07, 2017

IN depth Explanation

par 杜冈桃

Sep 27, 2017

非常好. 学到很多实用东西

par Anil G

May 14, 2018

Very informative course, enhance dat

par Tai C M

Sep 23, 2017

This course is quite helpful. Especially the part which we learned to use ggplot.

par Ganesh P

Nov 29, 2017

V

par Amit K R

Nov 21, 2017

ok

par Keidzh S

Apr 04, 2018

Effective and very different.

par Jay B

Aug 15, 2017

good