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
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
In the first part of this course you will explore methods to compute an approximate solution to an inconsistent system of equations that have no solutions. Our overall approach is to center our... more
En este curso se recordará lo que es una ecuación con una única incógnita y cómo solucionarla. A partir de ahí se tratarán: Los sistemas de ecuaciones lineales. Cómo se definen, cómo se clasific... more
This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level mathematics exams.You’ll also be encouraged to consider how what you know f... more
This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain a deeper... more