← Back
R Programming Course – Learn R for Data Science & Statistics
Master R programming with hands-on lessons and real-world data projects. Our R Programming Course in Vancouver covers everything from data visualization and analysis to machine learning. Perfect for beginners and professionals looking to upskill in data science.
What You’ll Learn in Our R Programming Course
- R programming fundamentals and RStudio setup
- Data types, variables, and operators
- Conditional statements and loops
- Functions, packages, and environments
- Data manipulation using data frames and tibbles
- Data visualization with ggplot2
- Descriptive statistics and probability basics
- Intro to machine learning with R
Who Should Take This R Programming Course
- Beginners who want to learn programming through R
- Students and professionals entering data science
- Researchers and analysts needing statistical computing
- Anyone interested in R for data visualization and modeling
R Programming Course Index
- What is R and why use it?
- Installing R and RStudio
- RStudio interface overview
- Variables and assignments
- Numeric, character, logical types
- Vectors, lists, matrices, arrays
- If, else, else if
- For loops
- While loops
- Repeat loops
- Writing functions
- Function arguments and defaults
- Return values
- Creating and accessing data frames
- Using dplyr for data manipulation
- Filtering, selecting, mutating data
- Base R plotting functions
- Introduction to ggplot2
- Creating histograms, scatterplots, bar charts
- Installing and loading packages
- Popular packages: tidyverse, data.table
- Managing package dependencies
- Descriptive statistics
- Probability distributions
- Hypothesis testing basics
- Machine learning concepts
- Using caret package
- Building simple regression and classification models
Why Learn R Programming in 2025
R remains one of the top programming languages for data analysis, statistics, and visualization. Its open-source nature and vast library ecosystem make it a top choice for data scientists in finance, research, healthcare, and tech industries.
Key Features of R Programming
- Over 15,000 CRAN packages for data science and analytics
- Industry-grade visualization tools like ggplot2
- Completely open-source with a global user community
Course Levels Available
- Beginner: Learn syntax, data types, and basic visualization
- Intermediate: Explore data manipulation, modeling, and reporting
- Advanced: Implement machine learning and real-world data projects
Frequently Asked Questions
- Is R programming hard to learn? Not at all! Our step-by-step lessons make R easy and engaging for complete beginners.
- Can I take this course online? Yes! You can join our R programming classes online or in-person in Vancouver.
- Do I need a background in statistics? No prior experience is required—our course covers essential statistical concepts from scratch.