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RStudio for Six Sigma - Basic Descriptive Statistics(으)로 돌아가기

Coursera Project Network의 RStudio for Six Sigma - Basic Descriptive Statistics 학습자 리뷰 및 피드백

54개의 평가
10개의 리뷰

강좌 소개

Welcome to RStudio for Six Sigma - Basic Description Statistics. This is a project-based course which should take approximately 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will learn to perform Basic Descriptive Analysis (Six Sigma) tasks hands-on using RStudio. Both R language and RStudio tools are Open Source and can be used for most Six Sigma analysis tasks without needing commercial software....

최상위 리뷰

필터링 기준:

RStudio for Six Sigma - Basic Descriptive Statistics의 11개 리뷰 중 1~11

교육 기관: Kit S

2020년 10월 20일

Love the approach. The script you leave the course with is an excellent foundation toolkit for using the skills at work.

교육 기관: Kelsey G L

2020년 10월 28일

Very helpful and easy to follow. There are a couple of statistical terms used that weren't explained so google is your friend in those cases

교육 기관: Maria C M d S

2020년 12월 17일

Great course and teacher!


2020년 12월 31일

Informative and Concise.

교육 기관: Donald F

2020년 10월 28일

All good.

교육 기관: 321910303060 g

2021년 11월 25일


교육 기관: ABBURI S H

2021년 9월 5일


교육 기관: Emmanuel E

2020년 11월 15일

Nice course with good hands on practical teachings of some of the basic parts of R. It sets the tone for mastery in R. Great resource

교육 기관: Ajay K S

2021년 1월 30일

Learnt something I didn't Know. Thanks for making it easy too

교육 기관: SYED S

2021년 8월 16일


교육 기관: Harlan B

2022년 3월 3일

Instructor promises that we will get a link to download the data and script. Link to course material does not work as expected. Takes you to a place where the free storage for the files has expired. The only way to get the files is by enrolling in a PAID SUBSCRIPTION. This issue was reported in the course user forum a month ago. No response by anybodo so far. Best for students who have taken some trainnig in R and the RStudio environment. If you don't know much about either and then try his techniques, you may get very frustrated. And again, can't do it on your own once you leave the course, unless you want to pay a subscription to some hosting company.