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.

Johns Hopkins University
Skills you'll gain: R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Software, Data Analysis Software, Debugging, Software Installation, Data Access, Simulations, Programming Principles, Data Import/Export, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing
Mixed · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Wrangling, Data Integration, Data Manipulation, JSON, Data Transformation, Relational Databases, R (Software), Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Structures, File I/O, Application Programming Interface (API)
Beginner · Course · 1 - 3 Months

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Manipulation, Data Cleansing, Statistical Modeling, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard
Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, R (Software), Data Transformation, Statistical Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis
Intermediate · Guided Project · Less Than 2 Hours

Johns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard Creation, Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Application Development, Data Sharing, UI Components, User Interface (UI), Application Deployment
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Simulations, Plot (Graphics), Statistical Visualization, R (Software), R Programming, Statistical Programming, Statistical Methods, Process Modeling, Statistical Analysis, Process Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Exploratory Data Analysis, Plot (Graphics), Box Plots, Correlation Analysis, Data Visualization, Scatter Plots, Data Cleansing, Statistical Visualization, Data Preprocessing, Data Manipulation, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Statistical Methods, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Logical Operations
Skills you'll gain: R (Software), Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Computational Logic, Data Analysis Software, Data Preprocessing, Software Installation, Data Science, Development Environment, Computer Programming, Program Development, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks