Statistical Analysis with R for Public Health

Please use this identifier to cite or link to this item: http://repository.unmul.ac.id/handle/123456789/9344

Full metadata record

DC Field	Value	Language
dc.contributor.author	Isnuwardana, Ronny	-
dc.date.accessioned	2022-01-14T06:34:44Z	-
dc.date.available	2022-01-14T06:34:44Z	-
dc.date.issued	2021-10-19	-
dc.identifier.other	coursera.org/verify/specialization/DQBFA629FZMY	-
dc.identifier.uri	http://repository.unmul.ac.id/handle/123456789/9344	-
dc.description	This Specialisation comprises four courses on formulating and testing hypotheses, correlation and three main types of regression, including testing model assumptions and dealing with real-world data problems through statistical analysis using R software. Successful participants can appreciate how key statistical concepts such as sample size and how the data were generated are important to modern public health research and practice. They are able to apply appropriate methods in order to formulate and examine statistical associations between variables within a data set using R. Finally, they can interpret the output from their analysis and appraise the role of chance and bias as potential explanations for their results.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Coursera	en_US
dc.title	Statistical Analysis with R for Public Health	en_US
dc.type	Other	en_US
Appears in Collections:	Sertifikat

Files in This Item:

File	Description	Size	Format
password123456_Coursera DQBFA629FZMY.pdf	password123456_Coursera DQBFA629FZMY	328.42 kB	Adobe PDF	View/Open

DSpace JSPUI