Course Objectives

• Get familiar with r programming language
• Understand statistical analysis using R programming
• Explore how to analyse research data using statistical methods and R programming
• Explore how to represent data using basic graphs in R.

Course Outcome 

This course aims to provide basic training in understanding the concepts in data science and statistical analysis using R programming. The R programming language is one of the most widely used programming languages among the data scientists, researchers and clinicians. Being an open-source software, it is freely available and allows integration with other applications. The course will be a hands-on program where participants will play with the dataset provided to them through exercises and analyses it using R software. 

 Module 1  : (7 hours)

• Overview of Data Sciences
• Introduction to R programming

Module 2  :  (3 hours)

• Arithmetical Operations in r software

Module 3  : (5 hours)

• Data Management  in r
• Data entry
• Data Cleaning

Module 4  : (10 hours)

• Descriptive statistics
• Data visualization
• Chart-Diagram

Module 5  : (5 hours)

• Inferential Statistics
• ANOVA
• Chi-Square test
• T-test  

 
Reference 
 

• Dalgaard, P. (n.d.). Introductory Statistics with R (Vol. Second ). Springler.