R Statistics Courses
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.
Popular R Statistics Courses and Certifications
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Statistical Programming, Data-Driven Decision-Making, Seaborn, Statistical Analysis, Jupyter, Python Programming
Duke University
Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Logical Operations
Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Regression Analysis, Statistical Visualization, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
Coursera
Skills you'll gain: Data Transformation, Data Wrangling, R (Software), Data Analysis, Data Manipulation, R Programming, Data Cleansing, Scripting, Programming Principles, Data Structures
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Debugging
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
University of Michigan
Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Visualization, Plot (Graphics), Statistical Analysis, Data Presentation, Policty Analysis, Research, and Development, Ggplot2, Program Evaluation, Policy Analysis, Surveys, Data Ethics, R (Software), Data Literacy, Data Analysis, Tidyverse (R Package), R Programming, Statistical Methods, Case Studies, Political Sciences
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
Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Visualization (Computer Graphics), Unit Testing, Object Oriented Programming (OOP), Object Oriented Design
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
Microsoft
Skills you'll gain: Microsoft Visual Studio, R (Software), Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Statistical Programming, Program Development, Code Reusability, Development Environment, Data Manipulation, Computational Logic, Scripting, Functional Design, Software Installation
In summary, here are 10 of our most popular r statistics courses
- Statistics with Python:Â University of Michigan
- Data Science with R:Â Duke University
- R Programming for Data Science:Â Logical Operations
- R: Code, Import, Transform Data:Â Coursera
- Machine Learning with R:Â Packt
- Introduction to R Programming for Data Science:Â IBM
- Predict and Validate Regression Models in R:Â Coursera
- Data Analytics in the Public Sector with R:Â University of Michigan
- Analyze and Apply R for Data Analytics:Â EDUCBA
- Mastering Software Development in R:Â Johns Hopkins University
