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Learner Reviews & Feedback for Using Descriptive Statistics to Analyze Data in R by Coursera Project Network

4.6
stars
91 ratings

About the Course

By the end of this project, you will create a data quality report file (exported to Excel in CSV format) from a dataset loaded in R, a free,
open-source program that you can download. You will learn how to use the following descriptive statistical metrics in order to describe a
dataset and how to calculate them in basic R with no additional libraries. - minimum value - maximum value - average value - standard
deviation - total number of values - missing values - unique values - data types You will then learn how to record the statistical metrics for
each column of a dataset using a custom function created by you in R. The output of the function will be a ready-to-use data ...
...
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1 - 9 of 9 Reviews for Using Descriptive Statistics to Analyze Data in R

By Rajkumar R

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Jul 18, 2020

Enjoyed practicing

By Jesus M Z F

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Jul 20, 2020

Good course

By Simbarashe W

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Jul 19, 2020

It was a bit challenging to follow towards the end, but overall it was a good project.

By Rodrigo G Z

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Aug 28, 2020

Concise and direct with cool tips on the way

By math t ( T

•

Dec 1, 2023

A short overview of data descriptive statistics. It requires some basic background in R programming, especially in flow control. This project-course covers topics from simple computations of statistical measures until creating quality data reports.

By TUSHAR R

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Oct 2, 2020

I explore new things there and learn new thing.

By Karlo A L

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Oct 6, 2020

It was easy enough to follow.

By Surbhi K

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Oct 7, 2020

this courseis nice

By Deepak K

•

Nov 5, 2020

Thank You