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
Johns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Software, Data Analysis, Data Analysis Software, Debugging, Simulations, Programming Principles, Software Installation, Performance Tuning, Data Import/Export
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Software, Data Analysis Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
Imperial College London
Skills you'll gain: Logistic Regression, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, R (Software), Data Analysis, R Programming, Descriptive Statistics, Statistical Software, Statistical Modeling, Model Evaluation, Probability & Statistics, Statistical Methods, Data Analysis Software, Data Wrangling, Statistics, Public Health, Statistical Inference
Duke University
Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Software, Probability & Statistics, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Analysis
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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, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Plot (Graphics), Data Transformation, R Programming, Data Science, Data Wrangling, Data Presentation, Version Control
Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, Data Manipulation, Data Science, Box Plots, Correlation Analysis, Data Cleansing, Data Preprocessing, Model Optimization, Data Import/Export
Microsoft
Skills you'll gain: Debugging, R Programming, Data Structures, Software Documentation, Programming Principles, Code Reusability, Development Environment, Data Manipulation, Computational Logic
Skills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Data Analysis, R (Software), R Programming, Data Quality, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric, Automation
Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Analysis Software, Data Analysis, Data Science
University of Amsterdam
Skills you'll gain: Qualitative Research, Scientific Methods, Statistical Analysis, Statistical Hypothesis Testing, Research, Science and Research, Research Design, Sampling (Statistics), Research Reports, Interviewing Skills, Data Analysis, Data Collection, Research Methodologies, Probability & Statistics, Social Sciences, Statistical Methods, Regression Analysis, Statistical Inference, Statistics, R Programming
University of California, Santa Cruz
Skills you'll gain: Bayesian Statistics, Time Series Analysis and Forecasting, Statistical Inference, Statistical Methods, R Programming, Forecasting, Statistical Programming, R (Software), Probability & Statistics, Statistical Modeling, Technical Communication, Probability, Statistics, Statistical Analysis, Statistical Reporting, Statistical Software, Probability Distribution, Data Analysis, Markov Model, Data Science
Best R Statistics courses from Duke University
Top-rated R Statistics courses offered by Duke University on Coursera.
- Data Analysis with RDuke UniversityBeginner3 - 6 MonthsDuke University
- Introduction to Probability and Data with RDuke UniversityBeginner1 - 3 MonthsDuke University
- Data Science with RDuke UniversityBeginner1 - 3 MonthsDuke University
Best R Statistics certificate programs
Earn a certificate in R Statistics from top universities and companies.
- Statistical Analysis with R for Public HealthImperial College LondonBeginner3 - 6 MonthsSpecialization
- Methods and Statistics in Social SciencesUniversity of AmsterdamBeginner3 - 6 MonthsSpecialization
- Bayesian StatisticsUniversity of California, Santa CruzIntermediate3 - 6 MonthsSpecialization
Best R Statistics courses for beginners
Top-rated beginner-friendly R Statistics courses with no prerequisites.
- The R Programming Starter CourseMicrosoftBeginner1 - 4 WeeksNo prerequisites
- Transform, Analyze, and Report Data with RCourseraBeginner1 - 4 WeeksNo prerequisites
- Getting Started with RCourseraBeginnerLess Than 2 HoursNo prerequisites
