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I-StAR: Introduction to Statistical Analysis with R

This is a course on introduction to statistical analysis using R and RStudio. The course is organised into different levels;

Course 1 - Foundation of using R and RStudio and the Tidyverse

In this Course 1 you will get an introduction to the R and RStudio data analysis platforms and . The course gives an overview of how to use R for effective exploratory data analysis and data visualization. The course covers practical sessions in statistical programming which includes programming in R, reading data into R, accessing and installing R packages, organizing and commenting R code and planning for data analysis.

Course Outline:

• Day 1: Background, Getting Started, and fundamentals of R programming

  • Introduction to concepts of Data Management (Folders, folder structure)
  • Set RStudio Cloud Account
  • Good data programming skills
  • Introduction to R and RStudio- Basic functions

• Day 2: Data Wrangling with Tidyverse

  • Creating new variables
  • Subset of data
  • Data summaries
  • Reading data into R
  • Exporting data from R

• Day 3: Numerical Exploration and introduction to data visualization

  • Measures of central tendancy
  • Measures of variability
  • Introduction to plotting with R

• Day 4: Data visualization with ggplot

  • Data visualization with ggplot
  • Exploratory analysis of continuous data

• Day 5: Exploratory data analysis

  • Exploratory analysis of categorical data
  • Exploratory analysis of rates and ratios
  • Reproducible Research in R and wrap up.