R Statistics courses can help you learn data manipulation, statistical modeling, hypothesis testing, and data visualization techniques. You can build skills in regression analysis, time series forecasting, and creating reproducible reports. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support analyzing datasets and presenting findings effectively. By engaging with these tools, you can apply statistical methods to real-world problems, enhancing your ability to draw insights from data.

Skills you'll gain: Feature Engineering, Data Preprocessing, Model Training, Model Optimization, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Bioinformatics, R (Software), R Programming, Molecular, Cellular, and Microbiology, Molecular Biology, Data Manipulation, Programming Principles, File I/O, Scripting Languages, Data Processing
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Application Deployment, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Probability Distribution, R (Software), Statistics, Statistical Methods, Data Science, Database Management, Relational Databases, R Programming, Python Programming, NumPy, Data Analysis
★ 4.6 (75K) · Beginner · Specialization · 3 - 6 Months
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Model Evaluation, R (Software), Regression Analysis, Leaflet (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Data Visualization, Machine Learning, GitHub
★ 4.5 (51K) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), Git (Version Control System), GitHub, Software Versioning, Data Literacy, General Science and Research, Data Analysis, R Programming, Development Environment, Statistical Reporting, Software Installation
★ 4.6 (34K) · Mixed · Course · 1 - 4 Weeks

Skills you'll gain: SQL, Data Cleansing, Jupyter, Data Literacy, Data Mining, Data Manipulation, Data Preprocessing, Data Wrangling, R (Software), Business Analysis, Model Deployment, Database Management, Relational Databases, Stored Procedure, R Programming, Data Science, Data Processing, Big Data, GitHub, Python Programming
★ 4.6 (102K) · Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Magnetic Resonance Imaging, Neurology, Medical Imaging, Diagnostic Radiology, Anatomy, Image Analysis, Data Analysis, Correlation Analysis, Data Manipulation, R (Software), Radiology, Experimentation, Research Design, Laboratory Research, Statistical Analysis, Image Quality, Advanced Analytics, R Programming, Statistical Methods, Statistics
★ 4.7 (3.3K) · Intermediate · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Bioinformatics, Unix Commands, grep, Biostatistics, R (Software), Exploratory Data Analysis, Statistical Analysis, Unix Shell, Unix, Data Science, Data Management, Statistical Methods, Information Management, Command-Line Interface, Statistical Hypothesis Testing, Data Structures, Big Data, Molecular Biology, R Programming, Python Programming
★ 4.5 (6.8K) · Intermediate · Specialization · 3 - 6 Months

Duke University
Skills you'll gain: Regression Analysis, R (Software), Statistical Programming, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Correlation Analysis, Data Analysis, Statistical Methods, Model Evaluation, Mathematical Modeling, Statistics, Predictive Modeling, Probability & Statistics, Statistical Hypothesis Testing
★ 4.8 (1.8K) · Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Statistical Methods, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Predictive Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
★ 4.5 (192) · Advanced · Course · 1 - 3 Months

Skills you'll gain: Jupyter, R (Software), R Programming, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Cloud Computing, Git (Version Control System), Application Programming Interface (API), Other Programming Languages, Development Environment, Query Languages, Python Programming, Machine Learning, Open Source Technology
★ 4.5 (30K) · Beginner · Course · 1 - 3 Months