Introduction to R

By Santu Ghosh | Rajiv Gandhi University of Health Sciences

Learners enrolled: 985

In this course you will learn how to analysis data by R statistical software, which is absolutely free and can be downloaded from (https//www.r-project.org). You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. Course will also teach you how to get access to R help as well as different vignettes with lot of case studies. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. The course will cover basic statistical analysis through R programming such as data exploration for qualitative as well as quantitative information, inferential statistics, simple and multiple regression, basic categorical data analysis, concept of longitudinal data analysis. Power and sample size calculation, numerical optimization and maximum likelihood estimation (mle).

Summary

Course Status :	Completed
Course Type :	Core
Duration :	15 weeks
Category :	Mathematics
Credit Points :	4
Level :	Undergraduate/Postgraduate
Start Date :	04 Jul 2022
End Date :	15 Oct 2022
Enrollment Ends :	15 Sep 2022
Exam Date :	03 Sep 2022 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week Topics

Week1 Overview of R

Week2 Linear Algebra in R

Week3 Graphics in R

Week4 Descriptive Statistics in R

Week5 R Function

Week6 Testing of hypothesis in R

Week7 Regression analysis in R

Week8 Mid-term examination

Week9 Multiple regression analysis in R

Week10 Categorical Data Analysis in R

Week11 Nonparametric Statistics in R

Week12 Numerical Optimization in R

Week13 Maximum Likelihood Estimation in R

Week14 R Case Study

Week15 Final examination (Date will be communicated later)

Books and references

Look at course content

Instructor bio

The course instructor has strong statistical background with almost 15years research experience in Public Health. Earlier he completed B.Sc. and M.Sc. in Statistics from University of Calcutta, Kolkata. Later he acquired an interdisciplinary PhD degree on ‘Biostatistics-Environmental Health’ from Faculty of Public Health, Sri Ramachandra University, Chennai. He also has more than 15years experience in R computing language and statistical analysis with plenty of research publications in international and national journals in the field of air pollution and health research in India.He was also a memeber for the WHO Indoor Air Pollution guideline development group and was one of contributing author for the Global Buden of Disease 2010 published in 2012. The instructor has special research interest on Semi-parametric Regression Modeling, Spatial Statistics, Survival Analysis, Enviormental and Nutrition Epidemiology. He is currently serving as an expert in multiple reasearch committees in Indian Council of Medical Reaserch(ICMR),Delhi.