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学生对 Johns Hopkins University 提供的 Exploratory Data Analysis 的评价和反馈

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6,086 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....

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LS

Oct 31, 2019

Good introduction. The swirl exercises kind of reproduce the lectures though- felt like it might not have been the most efficient use of time to go over the exact same example again.

CB

Jan 11, 2017

I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.

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851 - Exploratory Data Analysis 的 864 个评论（共 864 个）

创建者 David I

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Mar 26, 2016

The final project did not require use of the material in the course beyond the first week and a half. I did not take any quizzes or otherwise have my knowledge tested on the material in the second half of the course.

创建者 Rohith J

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Dec 13, 2016

Course content and assignments were difficult to follow. Loads of statistical content along with high-level R content means it was probably the toughest of the 4 I have taken so far in the Coursetrack.

创建者 Дмитрий Р

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Feb 6, 2016

some swirl tests (4,5) don't work because of parameter method in qplot function. This parameter is not realy existed in this function now

创建者 Rahul R

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Jun 16, 2021

SVD should be better explained. I found diffucilut to understand. Some backgroeund matrices and it's operations should be explained.

创建者 Freddie K

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Apr 5, 2017

Quite repetitious in covering basic graphing, and very shallow in regards of clustering, SVD and PCA.

创建者 Tamaz L

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Apr 5, 2016

Very unprofessional, compared to other courses. It wasn't well organized.

创建者 Desmond W

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Oct 19, 2016

About plotting in R. Not about generating real insights from EDA.

创建者 Esther L

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Aug 22, 2019

Too weak regarding the clustering methods, very disappointed.

创建者 ewa b

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May 31, 2017

didnt get much useful-- a whole "course" on plotting? meh.

创建者 Vineet P

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Jun 2, 2020

Not upto expectations

创建者 Michal K

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May 10, 2016

too superficial

创建者 Piyush V

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Jun 20, 2016

Veyr boring

创建者 Nicholas

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Sep 30, 2016

NEEEEEED TO EDIT MY PEER REVIEW FROM OTHERS

创建者 Carsten J

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Mar 1, 2016

Material is to basic for an entire course.