RStudio courses can help you learn data visualization, statistical analysis, and reproducible research practices. You can build skills in programming with R, data wrangling using dplyr, and creating interactive reports with R Markdown. Many courses introduce tools like ggplot2 for data visualization and Shiny for building web applications, showing how these skills can enhance your ability to analyze and present data effectively.

University of Colorado Boulder
Skills you'll gain: Process Capability, Statistical Process Controls, R (Software), Statistical Analysis, Statistical Software, R Programming, Quality Control, Quality Improvement, Statistical Methods, Process Analysis, Data Transformation, Statistical Hypothesis Testing, Probability Distribution
ā 4.1 (17) Ā· Intermediate Ā· Course Ā· 1 - 3 Months

UniversitĆ 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
ā 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting, Case Studies, Programming Principles
Beginner Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, R (Software), Statistics, Data Analysis, Probability & Statistics, Statistical Methods, Statistical Programming, Data Analysis Software, Statistical Software, R Programming, Sampling (Statistics), Probability Distribution
Beginner Ā· Course Ā· 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, R (Software), GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, Test Case, Testability, R Programming, Code Reusability, Knitr, Continuous Integration, Program Development, Build Tools, Git (Version Control System), Development Testing
ā 4.1 (223) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Coursera
Skills you'll gain: Data Manipulation, Data Transformation, Pivot Tables And Charts, Data Wrangling, Data Cleansing, Data Integration, Tidyverse (R Package), R Programming, Data Quality, R (Software), Data Processing, Data Preprocessing
ā 4.6 (25) Ā· Intermediate Ā· Guided Project Ā· Less Than 2 Hours

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 Ā· Guided Project Ā· Less Than 2 Hours

Skills you'll gain: Analytical Skills, Statistical Methods, Exploratory Data Analysis, R (Software), Business Analytics, Data Analysis, Statistical Analysis, Data Visualization, Analytics, Statistical Visualization, R Programming, Analysis, Statistical Programming, Predictive Analytics, Statistical Modeling, Data Structures, Statistical Software, Time Series Analysis and Forecasting, Data Manipulation, Regression Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Plot (Graphics), R (Software), Regression Analysis, Data Presentation, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Scatter Plots, Anomaly Detection, Descriptive Statistics, Analytical Skills, Correlation Analysis, Graphing
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Dashboard Creation, R (Software), Dashboard, User Interface (UI), UI Components, Data Integration, Server Side, Interactive Design, User Interface (UI) Design, Web Applications, Software Architecture, Event-Driven Programming
Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Model Deployment, Analytics, R Programming, Scripting, Google Sheets, Email Automation, Tidyverse (R Package), Predictive Modeling, Automation, Data Manipulation, Health Technology, GitHub, Gmail, Git (Version Control System), Command-Line Interface
Intermediate Ā· Guided Project Ā· 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 Ā· Guided Project Ā· Less Than 2 Hours