Statistics with R courses can help you learn data visualization, hypothesis testing, regression analysis, and statistical modeling. You can build skills in interpreting data sets, conducting experiments, and making data-driven decisions. Many courses introduce R programming, which is widely used for statistical analysis and data manipulation, along with packages like ggplot2 for visualization and dplyr for data wrangling.

Skills you'll gain: Ggplot2, Model Evaluation, Data Visualization, Regression Analysis, Predictive Analytics, Predictive Modeling, Data-Driven Decision-Making, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistical Analysis, Data Analysis
★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

Universiteit Leiden
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Statistical Analysis, R (Software), Descriptive Statistics, Statistical Methods, Data Collection, Medical Privacy, Exploratory Data Analysis, Statistical Reporting, Logistic Regression, Statistical Modeling, Data Cleansing
★ 4.6 (46) · Beginner · Course · 1 - 3 Months

Coursera
Skills you'll gain: Data Transformation, Data Analysis, Data Manipulation, R Programming, Data Cleansing, Data Preprocessing, Scripting
Beginner · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Rmarkdown, Data Visualization, Statistical Visualization, R (Software), Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Processing, Software Installation
★ 4.7 (314) · Beginner · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Deep Learning, Ggplot2, Regression Analysis, Data Analysis, Data Wrangling, Data Modeling, Data Structures
★ 4.9 (10) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Analysis, R (Software), Public Health, Data Preprocessing
★ 4.8 (368) · Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Big Data, Data Integration, Data Processing, Data Analysis
★ 4.3 (1.2K) · Intermediate · Course · 1 - 3 Months

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Bayesian Statistics, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Data Analysis Software, Descriptive Statistics, Statistical Inference
Beginner · Course · 1 - 3 Months

University of Michigan
Skills you'll gain: Data Visualization, Statistical Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, Public Policies, R Programming, Analytics, Data Transformation, Programming Principles, Data Manipulation
★ 4.5 (63) · Intermediate · Course · 1 - 3 Months

Coursera
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Statistical Analysis, Statistics, Data Analysis, Statistical Methods, Estimation, Stakeholder Communications, Decision Making
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Descriptive Statistics, R (Software), Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Data Import/Export, Statistical Analysis, R Programming, Data Wrangling, Statistical Programming
★ 4.3 (19) · Beginner · Course · 1 - 3 Months

Logical Operations
Skills you'll gain: Data Processing, R Programming, Data Manipulation, Data Structures, Data Analysis, Software Installation, Data Science, Development Environment, Computer Programming, Computer Programming Tools, Software Development
Mixed · Course · 1 - 4 Weeks