Chevron Left
返回到 探索性数据分析

学生对 约翰霍普金斯大学 提供的 探索性数据分析 的评价和反馈

4.7
6,010 个评分

课程概述

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....

热门审阅

CC

Jul 28, 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 23, 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!

筛选依据:

1 - 探索性数据分析 的 25 个评论(共 851 个)

创建者 JM

Jul 11, 2018

创建者 Roman

Aug 30, 2018

创建者 Luca R

Jun 10, 2017

创建者 Dilyan D

Feb 12, 2018

创建者 Beverly A

Sep 19, 2016

创建者 Dan H

May 13, 2019

创建者 Paul R

Mar 11, 2019

创建者 Faben W

Feb 4, 2019

创建者 Rok B

May 15, 2019

创建者 Pamela M

Jun 4, 2016

创建者 M C

Jan 14, 2021

创建者 Eswara K

Jun 6, 2020

创建者 Josh H

Nov 5, 2017

创建者 Sergey K

May 10, 2016

创建者 omar k

Oct 10, 2017

创建者 NISHANT P

Oct 5, 2017

创建者 Dale O J

Oct 16, 2018

创建者 Chandrakanth C

Jun 18, 2018

创建者 Rishabh J

Aug 22, 2017

创建者 Farah N

Aug 28, 2019

创建者 Diego A Q

Jun 18, 2019

创建者 Linwood C I

Mar 7, 2016

创建者 Clare S

Mar 21, 2016

创建者 Deleted A

Jul 7, 2019

创建者 Amir h F N

Nov 7, 2021