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Master R Programming with Adaptive AI.

Master R Programming across 19 topics - Foundations, Intermediate, and Advanced - guided by Leyaa's adaptive intelligence.

3Parts
19Topics
149Patterns
35hEst. duration
Start Learning Free
R Programming
R Programming Course
3 - part learning journey
Beginner
Foundations
6 topics · 51 patterns
Beginner
Intermediate
Intermediate
7 topics · 54 patterns
Intermediate
Advanced
Advanced
6 topics · 44 patterns
Advanced
Begin Part 1: Foundations
✦ Course Structure

Your R Programming Journey in 3 Parts

Each part builds on the last - a deliberate progression from beginner to advanced.

Beginner
Beginner
Part 1: Foundations
Covers R Basics and Environment, Variables and Data Types, Vectors and 3 more topics.
6Topics
51Patterns
View topics
Intermediate
Intermediate
Part 2: Intermediate
Covers Matrices and Arrays, Lists, Data Frames and 4 more topics.
7Topics
54Patterns
View topics
Advanced
Advanced
Part 3: Advanced
Covers Data Visualization with ggplot2, Advanced ggplot2, Data Tidying with tidyr and 3 more topics.
6Topics
44Patterns
View topics
Curriculum

Everything You'll Learn

Explore every topic and pattern in the course.

R Programming

3 parts · 19 topics · 149 patterns
Beginner
Part 1: Foundations6 topics · 51 patterns
Beginner
01
R Basics and Environment
7 patterns
Why R is essential for statistics
R vs Python for data analysis
RStudio IDE setup
R Console and script files
Running R code
Package installation (install.packages)
First R program
02
Variables and Data Types
9 patterns
Why data types matter in R
Variable assignment (<- and =)
Numeric type
Integer type
Character (string) type
Logical (boolean) type
Complex type
Type checking and conversion
NULL and NA values
03
Vectors
10 patterns
Why vectors are the fundamental data structure
Vector creation with c()
Numeric and character vectors
Vector indexing (1-based)
Negative indexing for exclusion
Logical indexing
Named vectors
Vector arithmetic (element-wise)
Vector recycling behavior
Useful vector functions (length, sum, mean)
04
Operators and Expressions
8 patterns
Why operators drive computation
Arithmetic operators
Comparison operators
Logical operators (&, |, !, &&, ||)
Assignment operators
Pipe operator (%>% and |>)
Special operators (%in%, %*%)
Operator precedence
05
Control Flow
9 patterns
Why control flow directs execution
If-else statements
Ifelse vectorized function
Switch statement
For loop
While loop
Repeat loop with break
Next and break statements
Apply family vs loops
06
Functions
8 patterns
Why functions organize code
Function definition
Function arguments
Default argument values
Return values
Variable scope (lexical scoping)
Anonymous functions
Recursive functions
Intermediate
Part 2: Intermediate7 topics · 54 patterns
Intermediate
01
Matrices and Arrays
8 patterns
Why matrices handle tabular math
Matrix creation
Matrix dimensions
Row and column indexing
Matrix arithmetic
Matrix multiplication (%*%)
Transpose and inverse
Apply functions on matrices
02
Lists
8 patterns
Why lists hold mixed types
List creation
Accessing elements ([], [[]], $)
Named list elements
Modifying and adding elements
Nested lists
List to vector conversion
lapply and sapply
03
Data Frames
9 patterns
Why data frames are central to R
Data frame creation
Accessing columns ($, [])
Adding and removing columns
Filtering rows
Sorting with order()
Merging data frames
Summary statistics
Handling missing values (na.rm, na.omit)
04
Factors
6 patterns
Why factors represent categorical data
Factor creation
Factor levels
Ordered factors
Releveling factors
Factor in analysis and plotting
05
String Manipulation
8 patterns
Why text processing is common
paste and paste0
nchar and substring
grep and grepl
sub and gsub
strsplit
Regular expressions in R
String formatting with sprintf
06
Data Import and Export
7 patterns
Why data loading is the first step
read.csv and write.csv
read.table and delimiters
readRDS and saveRDS
Excel files with readxl
JSON with jsonlite
Database connections (DBI, RSQLite)
07
Data Manipulation with dplyr
8 patterns
Why dplyr simplifies data wrangling
filter() for row selection
select() for column selection
mutate() for new columns
arrange() for sorting
summarise() with group_by()
Pipe chaining operations
join functions (left_join, inner_join)
Advanced
Part 3: Advanced6 topics · 44 patterns
Advanced
01
Data Visualization with ggplot2
9 patterns
Why ggplot2 creates publication-quality graphics
Grammar of Graphics concept
ggplot() and aes() basics
Scatter plots (geom_point)
Line plots (geom_line)
Bar plots (geom_bar, geom_col)
Histogram and density plots
Box plots and violin plots
Faceting for subplots
02
Advanced ggplot2
7 patterns
Why customization creates professional visualizations
Labels and titles
Themes and theme customization
Color scales and palettes
Legend control
Coordinate systems
Saving plots (ggsave)
03
Data Tidying with tidyr
6 patterns
Why tidy data enables analysis
pivot_longer (wide to long)
pivot_wider (long to wide)
separate and unite
Handling missing values (drop_na, fill)
Nesting and unnesting
04
Statistical Analysis
8 patterns
Why statistical tests validate hypotheses
Descriptive statistics
t-test
Chi-squared test
Correlation analysis
Linear regression (lm)
ANOVA
Confidence intervals
05
Advanced Programming
7 patterns
Why advanced features enable complex work
Environment and closures
S3 object system
S4 object system
R6 classes
Error handling (tryCatch)
Debugging tools
06
R Markdown and Reporting
7 patterns
Why reproducible reports matter
R Markdown document creation
Code chunks and output
Inline R code
Output formats (HTML, PDF, Word)
Parameterized reports
Shiny basics for interactive apps
Why Leyaa

Not just a course. A learning intelligence.

Leyaa doesn't just deliver content - it understands where you are, what you need, and how to get you there fastest.

Adaptive Diagnostics
Adaptive Diagnostics
Leyaa identifies which of the 149 patterns you've mastered and which need work - before you waste time on what you already know.
Pattern-Level Precision
Pattern-Level Precision
Every pattern gets a verdict - Learn, Practice, or Skip - so your study time goes exactly where it counts.
Intelligent Pacing
Intelligent Pacing
Leyaa reads your velocity across the whole course and adapts your focus list dynamically, keeping you in the optimal learning zone.
Before & After Visibility
Before & After Visibility
Every assessment creates a snapshot. Retake anytime to see exactly how much you've grown - topic by topic, pattern by pattern.
Learner Autonomy
Learner Autonomy
Leyaa recommends, never restricts. Override any suggestion and explore at your own pace - the system tracks everything regardless.
Clear Learning Path
Clear Learning Path
Foundations → Intermediate → Advanced - a structured journey where each part sets you up perfectly for the next.
R Programming

Ready to master R Programming?
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Start your diagnostic now. Build mastery across all 19 topics in under 15 minutes.

19 Topics
149 Patterns
Personalized roadmap
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