R Programming course suitable for everyone, no coding experience or a statistics background needed
InstructorIvo BernardoThe curriculum moves systematically from basic vectors and arrays to more complex matrices and data frames.
Instruction includes analyzing real-world datasets, such as Walmart data, to demonstrate practical R usage.
Editorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This screenshot shows the RStudio environment with code generating a histogram using ggplot2, alongside the resulting red bar chart displayed in the plots pane.
This screenshot shows the RStudio interface with code to filter the mtcars dataset for cars with four cylinders, alongside the console output and built-in documentation panel.
This screenshot displays an RStudio session where a custom function is defined to calculate the mean of a vector, with the console confirming the correct results.
This screenshot demonstrates how to generate a multi-line plot in R using ggplot2, visualizing weekly sales data across different departments with distinct colored lines.
The content focuses on rudimentary basics rather than advanced statistical or programming concepts. One signal from August 2025—which predates the displayed January 2026 update—notes this lack of depth; because this review was written before the update, it is uncertain if the content has since been adjusted.
One signal indicates a pattern of multiple long video lectures followed by single, lengthy quizzes. This observation from August 2025 predates the displayed January 2026 update; while the update label may have addressed this, it does not prove a correction.
The curriculum aligns well with the stated goal of teaching beginners through structured data type progression.
