What You'll Learn

  • R fundamentals and RStudio for statistical computing
  • Data manipulation with dplyr and tidyverse
  • Beautiful data visualisations with ggplot2
  • Inferential statistics and hypothesis testing
  • Regression modelling (linear, logistic, multiple)
  • Time series analysis and forecasting
  • Creating reproducible reports with R Markdown

Course Modules

1

R Fundamentals & Setup

Install R and RStudio, learn basic syntax, data types, and packages.

2

Data Manipulation with dplyr

Master tidyverse, dplyr verbs, and data wrangling for efficient analysis.

3

Visualisation with ggplot2

Create elegant and publication-quality graphics with the grammar of graphics.

4

Statistical Testing & Inference

Hypothesis testing, t-tests, ANOVA, chi-square, and confidence intervals.

5

Regression Modelling

Linear regression, logistic regression, model comparison, and diagnostics.

6

Advanced Topics & Projects

Time series, forecasting, and capstone project with real scientific data.

Tools & Technologies

R & RStudio
tidyverse
ggplot2
R Markdown

Career Relevance

Data Analyst

Advanced statistical analysis and inferential reporting for business insights.

Data Scientist

Core skill for statistical modelling, experiments, and research-driven analysis.

Data Engineer

Useful for data validation and exploratory analysis in data pipelines.

Prerequisites

  • Basic statistics knowledge (mean, median, distributions)
  • Familiarity with data analysis concepts
  • R and RStudio installed on your computer
  • Comfortable with programming concepts (optional)

Ready to Master R Statistics?

Get access to this course, plus 13 more professional data & AI courses.

Get access for $34