R for Practical Data Analysis

This course will cover the basics of R, which is currently the most widely used statistical computing environment in the world. A the end of this course, students are expected to be able to use R to process data, prepare summary statistics, and create figures for supporting data analysis work.

• Basic commands
• Reading and writing data
• Data objects: vector, matrix, data frame, list
• Summary statistics
• Data visualisation using histogram, scatter plot, box plot
• Useful statistical analyses: t-test, ANOVA, chi-squared test, Fisher’s test, correlation analysis, linear regression
• Multivariate data analysis: ordination with Principal Component Analysis
• Iterations
• Crafting your own workflow: writing functions
• Capstone project

Who should attend: Anyone who is interested in developing basic R skills to analyse their own data

Instructor:
Dr. Khang Tsung Fei
University Malaya
PhD (NUS, SG)