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 Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Probability, Box Plots, Histogram, Probability Distribution, Probability & Statistics, Scatter Plots, Statistics, Microsoft Excel, Excel Formulas, Data Analysis, Statistical Methods, Spreadsheet Software, Bayesian Statistics
Imperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Model Evaluation, Statistical Methods, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Statistical Software, Predictive Analytics, Probability & Statistics, R (Software), Data Preprocessing, Public Health
University of Geneva
Skills you'll gain: Analysis, Data Synthesis, Data Compilation, Data Literacy, Analytical Skills, Key Performance Indicators (KPIs), Correlation Analysis, Statistical Methods, International Relations, Statistics, Economics, Market Opportunities, Economics, Policy, and Social Studies, Data Analysis, Data Collection, Social Studies, Data Quality, Data Transformation, Job Analysis, Human Development
Skills you'll gain: Version Control, GitHub Copilot, Software Documentation, R (Software), Software Versioning, Microsoft Visual Studio, Technical Documentation, Program Development, Statistical Analysis, Development Environment, Descriptive Statistics, Statistical Programming, Programming Principles
Coursera
Skills you'll gain: Data Import/Export, R (Software), Scripting, R Programming, Scripting Languages, Statistical Programming, Data Structures
Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
University of Colorado Boulder
Skills you'll gain: Bayesian Statistics, Statistical Inference, Statistical Modeling, Predictive Analytics, Probability & Statistics, Predictive Modeling, Statistical Methods, Data Ethics, Data Science, Statistics, Probability, Regression Analysis, Probability Distribution, Sampling (Statistics)
University of Pittsburgh
Skills you'll gain: Statistical Analysis, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistics, Integral Calculus, Probability & Statistics, Data Science, Probability Distribution, Calculus, Mathematics and Mathematical Modeling, Applied Mathematics, Derivatives, Probability, Mathematical Modeling, Machine Learning, Algorithms
Universidades Anáhuac
Skills you'll gain: R (Software), R Programming, Plot (Graphics), Statistical Programming, Statistical Analysis, Correlation Analysis, Data-Driven Decision-Making, Business Analytics, Graphing, Decision Making, Statistical Methods, Analytics, Analysis, Data Analysis, Statistical Visualization, Unsupervised Learning, Business Analysis, Exploratory Data Analysis, Data Analysis Software, Advanced Analytics
Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Tidyverse (R Package), Data Wrangling, Data Analysis Software, Data Manipulation, Statistical Visualization
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
Microsoft
Skills you'll gain: GitHub Copilot, Version Control, Collaborative Software, GitHub, Software Documentation, R Programming, Debugging, Software Installation
In summary, here are 10 of our most popular r statistics courses
- Statistics and Data Analysis with Excel, Part 1:Â University of Colorado Boulder
- Logistic Regression in R for Public Health:Â Imperial College London
- Global Statistics - Composite Indices for International Comparisons:Â University of Geneva
- R Programming Essentials with Microsoft Tools:Â Microsoft
- Bases y primeros pasos en R:Â Coursera
- Data Tidying and Importing with R:Â Duke University
- Introduction to Bayesian Statistics for Data Science:Â University of Colorado Boulder
- Statistics and Calculus Methods for Data Analysis:Â University of Pittsburgh
- Análisis de datos empresariales con R: Universidades Anáhuac
- Analyze Data: Visualize, Summarize, and R:Â Coursera
