Learn Programming Language R
This educational course on R Programming is designed to provide learners with a comprehensive understanding of R as a programming language, its applications in data analysis, and its capabilities in statistical methods and visualization. The course covers fundamental topics such as installation, syntax, data types, and structures before advancing to data manipulation, visualization techniques, and statistical analysis. By the end of this course, learners will be equipped with the necessary skills to conduct data analysis projects and create interactive reports using R and RMarkdown.
Introduction to R Programming
Data Types and Structures in R
Data Manipulation in R
Data Visualization with R
Programming and Functions
Statistical Analysis with R
Handling missing data
Handling missing data is a crucial aspect of data analysis, as it can significantly impact results. This subtopic covers various methods for dealing with missing values, ensuring learners can maintain the integrity of their datasets.
Handling Missing Values in R
Data Pre-processing in R: Handling Missing Data
R: Regression With Multiple Imputation (missing data handling)