Course

# R courses

Recomended For Starters

Become an R programmer and develop your R skills with interactive courses, tracks and projects, curated by real-world experts.

Track

### R Programming

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Take an Assessment## Browse R courses and tracks

154 resultsCourse

### Introduction to R

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### Intermediate R

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### Introduction to the Tidyverse

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### Introduction to Data Visualization with ggplot2

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### Data Manipulation with dplyr

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### Introduction to Statistics in R

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### Introduction to Regression in R

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### Exploratory Data Analysis in R

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### Introduction to Importing Data in R

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### Joining Data with dplyr

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### Supervised Learning in R: Classification

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### Intermediate Regression in R

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### Intermediate Data Visualization with ggplot2

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### Cleaning Data in R

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### Reporting with R Markdown

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### Reshaping Data with tidyr

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### Hypothesis Testing in R

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### Introduction to R for Finance

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### Introduction to Writing Functions in R

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### Supervised Learning in R: Regression

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### Unsupervised Learning in R

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### Writing Efficient R Code

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### Sampling in R

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### Building Web Applications with Shiny in R

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### Time Series Analysis in R

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### Communicating with Data in the Tidyverse

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### Machine Learning with caret in R

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### Manipulating Time Series Data in R

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### Introduction to Text Analysis in R

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### Foundations of Probability in R

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### Web Scraping in R

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### Modeling with tidymodels in R

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### Joining Data with data.table in R

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### Data Manipulation with data.table in R

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### Modeling with Data in the Tidyverse

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### Interactive Data Visualization with plotly in R

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### Intermediate R for Finance

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### Hierarchical and Mixed Effects Models in R

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### Intermediate Importing Data in R

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### Generalized Linear Models in R

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### RNA-Seq with Bioconductor in R

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### Forecasting in R

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### Case Study: Exploratory Data Analysis in R

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### Foundations of Inference in R

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### Cluster Analysis in R

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### Machine Learning with Tree-Based Models in R

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### Working with Dates and Times in R

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### Experimental Design in R

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### Fundamentals of Bayesian Data Analysis in R

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### Introduction to Bioconductor in R

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### Visualization Best Practices in R

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### Network Analysis in R

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### ARIMA Models in R

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### String Manipulation with stringr in R

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### Dealing With Missing Data in R

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### Visualizing Geospatial Data in R

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### Analyzing Survey Data in R

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### Inference for Linear Regression in R

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### Linear Algebra for Data Science in R

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### Object-Oriented Programming with S3 and R6 in R

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### Interactive Maps with leaflet in R

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### Credit Risk Modeling in R

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### Dimensionality Reduction in R

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### HR Analytics: Exploring Employee Data in R

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### Building Dashboards with shinydashboard

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### Text Mining with Bag-of-Words in R

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### Importing and Managing Financial Data in R

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### Introduction to Portfolio Analysis in R

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### Machine Learning in the Tidyverse

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### Developing R Packages

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### Categorical Data in the Tidyverse

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### Support Vector Machines in R

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### Factor Analysis in R

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### Quantitative Risk Management in R

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### Survival Analysis in R

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### Introduction to Natural Language Processing in R

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### Structural Equation Modeling with lavaan in R

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### Case Studies: Building Web Applications with Shiny in R

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### Feature Engineering in R

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### Nonlinear Modeling with Generalized Additive Models (GAMs) in R

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### A/B Testing in R

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### GARCH Models in R

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### Sentiment Analysis in R

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### Inference for Numerical Data in R

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### Hyperparameter Tuning in R

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### Visualizing Time Series Data in R

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### Analyzing US Census Data in R

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### Business Process Analytics in R

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### Handling Missing Data with Imputations in R

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### Inference for Categorical Data in R

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### Market Basket Analysis in R

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### Foundations of Functional Programming with purrr

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### Bond Valuation and Analysis in R

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### Case Study: Analyzing City Time Series Data in R

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### Building Dashboards with flexdashboard

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### Differential Expression Analysis with limma in R

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### Intermediate Portfolio Analysis in R

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### Machine Learning for Marketing Analytics in R

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### Life Insurance Products Valuation in R

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### Multivariate Probability Distributions in R

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### Visualizing Big Data with Trelliscope in R

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### Intermediate Regular Expressions in R

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### Intermediate Interactive Data Visualization with plotly in R

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### Financial Trading in R

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### Analyzing Social Media Data in R

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### Forecasting Product Demand in R

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### Parallel Programming in R

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### Fraud Detection in R

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### R For SAS Users

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### Equity Valuation in R

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### Programming with dplyr

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### Bayesian Modeling with RJAGS

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### ChIP-seq with Bioconductor in R

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### Practicing Statistics Interview Questions in R

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### Choice Modeling for Marketing in R

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### Bayesian Regression Modeling with rstanarm

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### Defensive R Programming

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### Building Response Models in R

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### Introduction to Anomaly Detection in R

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### Case Studies: Network Analysis in R

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### Mixture Models in R

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### HR Analytics: Predicting Employee Churn in R

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### Intermediate Functional Programming with purrr

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### Optimizing R Code with Rcpp

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### Predictive Analytics using Networked Data in R

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### Scalable Data Processing in R

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### Probability Puzzles in R

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### Associate Data Scientist in R

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### R Programming

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### Data Analyst with R

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### Data Scientist in R

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### R Developer

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### Statistics Fundamentals with R

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### Data Visualization with R

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### Statistician with R

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### Machine Learning Fundamentals in R

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### Quantitative Analyst with R

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### Data Manipulation with R

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### Machine Learning Scientist with R

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### Analyzing Genomic Data in R

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### Time Series with R

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### Shiny Fundamentals with R

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### Tidyverse Fundamentals with R

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### Marketing Analytics with R

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### Statistical Inference with R

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### Supervised Machine Learning in R

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### Importing & Cleaning Data with R

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### Big Data with R

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### Finance Fundamentals in R

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### Text Mining with R

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### Interactive Data Visualization in R

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### Applied Finance in R

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### Network Analysis with R

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### Intermediate Tidyverse Toolbox

## Related resources on R

### The Top 8 R Project Ideas for 2023

Elena Kosourova

16 min

### Python vs R for Data Science: Which Should You Learn?

Javier Canales Luna

10 min

### Getting Started with R Cheat Sheet

Richie Cotton

9 min

## Ready to apply your skills?

Project

### NYC Airbnb Data Analysis

Project

### Dr. Semmelweis and the Importance of Handwashing

Project