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
Status: PreviewBall State University
Skills you'll gain: Statistical Methods, Probability & Statistics, Statistical Modeling, Statistical Programming, Statistical Analysis, Probability Distribution, Statistical Inference, Bayesian Statistics, Data Science, Sampling (Statistics), Statistical Hypothesis Testing, R Programming, Dimensionality Reduction, Simulations, Statistical Visualization
Status: PreviewUniversity of Maryland, College Park
Skills you'll gain: Data Integration, Data Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Logistic Regression
Status: Free TrialUniversity of Minnesota
Skills you'll gain: Social Determinants Of Health, Health Disparities, Health Equity, Health Policy, Systems Thinking, Health Informatics, Public Health, Community Health, Social Impact, Data Analysis, R Programming, Data Visualization, Data-Driven Decision-Making
Status: Free TrialJohns Hopkins University
Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming
Skills you'll gain: Operations Research, Supply Chain, Supply Chain Management, Supply Chain Planning, Operational Analysis, Process Improvement and Optimization, Capacity Planning, Production Planning, Data Analysis, R Programming
Status: PreviewJohns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics
Status: PreviewSungkyunkwan University
Skills you'll gain: Data Processing, Data Preprocessing, Portfolio Management, Investment Management, Classification And Regression Tree (CART), Statistical Machine Learning, Investments, Machine Learning Algorithms, Applied Machine Learning, R Programming, Feature Engineering, Machine Learning, Financial Modeling, Model Evaluation, Supervised Learning, Asset Management
Status: PreviewUniversity of Maryland, College Park
Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling
Status: Free TrialJohns Hopkins University
Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Bioinformatics, Technical Documentation, Informatics, Clinical Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Version Control, Integrated Development Environments
Status: PreviewJohns Hopkins University
Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Data Literacy, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Data Quality, Data Management
- Status: Preview
Johns Hopkins University
Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Transformation, Data Science, Data Analysis, R (Software), Data Processing, R Programming, Rmarkdown, Software Installation, Command-Line Interface
Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Geographic Information Systems, Unsupervised Learning, Image Analysis, Machine Learning, R Programming, Data Processing, Data Preprocessing, Classification Algorithms, Data Transformation, Dimensionality Reduction
In summary, here are 10 of our most popular r statistics courses
- Statistical Methods for Data Science: Ball State University
- Cómo combinar y analizar datos complejos: University of Maryland, College Park
- Introduction to Social Determinants of Health: University of Minnesota
- Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
- Supply Chain Network Optimization Using MILP on RStudio: Coursera
- تحليل البيانات الاستكشافية: Johns Hopkins University
- Machine Learning for Smart Beta: Sungkyunkwan University
- Cómo manejar datos faltantes: University of Maryland, College Park
- Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University
- 데이터 과학자의 도구 상자: Johns Hopkins University
