Data modelling, analysis and visualisation using R

Data modelling, analysis and visualisation using R

Course Description

Pretoria: 12-16 August 2024

Dubai: 21-25 October 2024

Course Description

This training course is designed to help participants strengthen their skills using R for effective data modelling and analysis. The course will briefly introduce basic methods for data import, data management, simple graphics, and basic statistical analysis; and provides a firm foundation for statistical methods. It 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.

This course is well-suited for:
• Economists, Policy-makers, Researchers
• Government officials, Staff of central bank research division
• Macroeconomic policy analysts
• Academics, development planners, government employees and any individuals dealing with issues related to macroeconomic analysis, modelling and forecasting

  • The course helps participants:
    • Prepare and manipulate datasets for analysis and modelling in R
    • Read and write data files in R
    • Perform simple to complex data management tasks using R
    • Conduct simple descriptive and graphic analyses of data in R
    • Perform data manipulations: creating new variables, merging data sets, etc
    • Correctly identify appropriate statistical tests for basic analysis using R
    • Use R to perform descriptive statistics including graphics
    • Perform basic inferential statistical analyses including regression analysis
    • Write and use R script files and functions
    • Perform programming in R
    • Prepare a report with a summary of analyses conducted in R
    • Enhance oral and written communication skills

The training approach is highly interactive. It uses a mixture of presentations by the facilitator and by participant(s), group or individual exercises, use of case studies and role plays. These proven learning techniques enhance understanding and retention of covered issues.