Basics of Statistical Inference and Modelling Using R
About this Course
Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate. This course is directed at people with limited statistical background and no practical experience, who have to do data analysis, as well as those who are “out of practice”. While very practice oriented, it aims to give the students the understanding of why the method works (theory), how to implement it (programming using R) and when to apply it (and where to look if the particular method is not applicable in the specific situation).Created by: University of Canterbury
Level: Intermediate

Related Online Courses
Differential equations are the mathematical language we use to describe the world around us. Most phenomena can be modeled not by single differential equations, but by systems of interacting... more
Created specifically for those who are new to the study of probability, or for those who are seeking an approachable review of core concepts prior to enrolling in a college-level statistics course,... more
A wondrously romantic belief is that brilliant thinkers magically produce brilliant ideas: Einstein jostles his hair and relativity falls out. We can enjoy these fanciful visions of leaps of... more
L'équation z^2=−1 n'admet pas de solution dans R. Nous introduisons le système des nombres complexes C : C'est un corps qui contient R et qui nous permet de résoudre cette équation. Nous intro... more
L'étude des fonctions est la discussion de certaines de ses propriétés. Pour cela, nous avons besoin de certains théorèmes permettant par exemple de trouver les variations de la fonction étud... more