R Courses
R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.
Popular R Courses and Certifications
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Data Literacy, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL, Query Languages
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, Data Analysis Software, Python Programming
Skills you'll gain: Tidyverse (R Package), Rmarkdown, Predictive Modeling, Model Evaluation, File Management, R (Software), Data Governance, Responsible AI, Data Manipulation, R Programming, Research Reports, Metadata Management, Data Quality, Predictive Analytics, Data Wrangling, Data Ethics, Business Research, Statistical Reporting, Market Research, Statistical Analysis
Johns Hopkins University
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Statistical Visualization, Sampling (Statistics), Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Web Scraping, Data Science, R (Software), Data Analysis Software
Skills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Predictive Modeling, Data Analysis, R (Software), Statistical Reporting, R Programming, Data Quality, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric
Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Tidyverse (R Package), Data Processing, Data Cleansing, Statistical Programming, Programming Principles, Data Structures
Skills you'll gain: Jupyter, R (Software), R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Rmarkdown, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Computing, Git (Version Control System), Cloud Platforms, Application Programming Interface (API), Other Programming Languages, Query Languages, Python Programming
Skills you'll gain: Exploratory Data Analysis, Data Manipulation, Statistical Analysis, R (Software), Analytical Skills, Ggplot2, Data Storytelling, R Programming, Statistical Methods, Data Wrangling, Data Transformation, Quantitative Research, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Scatter Plots, Business Analytics, Data Analysis
Skills you'll gain: Shiny (R Package), Cloud Deployment, Interactive Data Visualization, Data Visualization, Cloud Applications, Statistical Visualization, Application Deployment, UI Components, Server Side, Dashboard Creation, Performance Tuning, R (Software), Dashboard, User Interface (UI), Application Lifecycle Management, Web Applications, Authentications, Application Development, R Programming, Data Management
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Data Import/Export, Statistical Visualization, Data Wrangling, Statistical Reporting, Data Visualization Software, Data Presentation, Data Analysis, Data Science, Data Manipulation, Statistical Analysis, Relational Databases, Data Cleansing, Communication
Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Kubernetes, Bash (Scripting Language), Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Grafana, Microservices, Python Programming
Johns Hopkins University
Skills you'll gain: Rmarkdown, Knitr, Data Sharing, General Science and Research, Statistical Reporting, Data Analysis, Statistical Analysis, R Programming, Verification And Validation, Technical Communication, Software Documentation
In summary, here are 10 of our most popular r courses
- Foundations: Data, Data, Everywhere:Â Google
- Introduction to Data Science:Â IBM
- Market Research Data Analysis and Governance with R:Â Coursera
- Tidyverse Skills for Data Science in R:Â Johns Hopkins University
- Transform, Analyze, and Report Data with R:Â Coursera
- Foundations of R Programming and Basic Data Manipulation:Â Packt
- Tools for Data Science:Â IBM
- Analyze and Apply R for Data Analytics:Â EDUCBA
- Build and Evaluate R Shiny Data Apps:Â EDUCBA
- Expressway to Data Science: R Programming and Tidyverse:Â University of Colorado Boulder
