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Learn Programming Language R

Data Science Programming Statistics

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.

Hypothesis testing

Hypothesis testing is a key statistical method for making inferences about populations based on sample data. This subtopic covers the basics of hypothesis testing and its implementation in R, equipping learners with vital analytical skills.

What is a hypothesis test? A beginner's guide to hypothesis testing!

Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!

t-test and interpreting p values using R Programming