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Statistical Analysis in R

Offered By: University of Canterbury via edX

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R Programming Courses Statistics & Probability Courses Data Analysis Courses Linear Regression Courses Statistical Modeling Courses Statistical Analysis Courses Statistical Inference Courses

Course Description

Overview

Applied Statistical Data Analysis Using R professional certificate 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”. The course is practice orientated, aiming to give learners an understanding of why the method works, how to implement it using R, when to apply it and where to look if the particular method is not applicable in the specific situation.


Syllabus

Courses under this program:
Course 1: Basics of Statistical Inference and Modelling Using R

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation.



Course 2: Advanced Statistical Inference and Modelling Using R

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.




Courses

  • 0 reviews

    6 weeks, 5-10 hours a week, 5-10 hours a week

    View details

    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).

  • 0 reviews

    6 weeks, 5-10 hours a week, 5-10 hours a week

    View details

    Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate.

    This course is directed at people who are already familiar with basic linear regression and fundamentals of statistical inference. It extends the knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up. 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).


Taught by

Elena Moltchanova

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