R Courses
R courses focus on statistical computing and data analysis using the R programming language. You'll learn about data manipulation, visualization, and statistical modeling, along with techniques for exploring and interpreting complex datasets. Key topics may include regression analysis, time series analysis, and using packages like ggplot2 and dplyr for enhanced data handling.
Popular R Courses and Certifications
DeepLearning.AI
AI Business School
Skills you'll gain: Prompt Engineering, Prompt Engineering Tools, Prompt Patterns, AI literacy, Multimodal Prompts, Generative AI, AI Enablement, AI Personalization, Artificial Intelligence, AI powered creativity, AI Workflows, Solution Design, Responsible AI, Research and Design, Ideation, Digital Transformation, Business Research, Design Research, Product Development
AI Business School
Skills you'll gain: Agentic Workflows, Prompt Engineering, AI Workflows, Agentic systems, Generative AI Agents, AI Enablement, Automation, No-Code Development, Digital Transformation, AI literacy, Feasibility Studies, Research and Design, Artificial Intelligence, Productivity, Risk Analysis, Research Design, Product Development, Initiative and Leadership, Product Design, Cost Benefit Analysis
Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Web Scraping, Interactive Data Visualization, Data Cleansing, Programming Principles, Data Structures
Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Spreadsheet Software, Analytical Skills, Tableau Software, Analysis, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL
Skills you'll gain: Dashboard Creation, Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Data Presentation, Probability Distribution, Statistics, Statistical Methods, Data Science, Database Management, Relational Databases, R Programming, Data Analysis Software, Python Programming, NumPy, Data Analysis
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 Cleansing, Statistical Modeling, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation
Imperial College London
Skills you'll gain: Statistical Analysis, R (Software), R Programming, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Data Analysis, Logistic Regression, Probability & Statistics, Statistical Modeling, Statistical Hypothesis Testing, Descriptive Statistics, Model Evaluation, Public Health
Johns Hopkins University
Skills you'll gain: Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, R Programming
Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, Data Science, Data Access, Data Manipulation, Data Analysis
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Data Import/Export, Data Visualization, Data Wrangling, Data Manipulation, Data Presentation, Data Analysis, Data Science, Data Cleansing, Data Transformation, Data Integration, Software Installation, Programming Principles, Communication, Aesthetics
Skills you'll gain: Jupyter, R Programming, Data Analysis Software, Computer Programming Tools, GitHub, Data Science, Cloud Hosting, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Development Environment, Query Languages, Python Programming
How to choose the right R course
Start with what you want to do with R. If you want to use R for statistical analysis, look for courses focusing on statistical modeling, hypothesis testing, and data visualization techniques. If you're interested in R for machine learning applications, choose courses that cover machine learning algorithms, data preprocessing, and model evaluation in R.
