Statistics With R Courses
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.
Popular Statistics With R Courses and Certifications
Duke University
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
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
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Matplotlib, Statistical Visualization, Model Evaluation, Statistical Programming, Data-Driven Decision-Making, Probability & Statistics, Statistical Analysis, Regression Analysis, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Python Programming
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
What brings you to Coursera today?
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, Statistical Reporting, GitHub, Machine Learning
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: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, File I/O
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), Interactive Data Visualization, SQL, Data Manipulation, Web Scraping, R Programming
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 Amsterdam
Skills you'll gain: Statistical Hypothesis Testing, Probability & Statistics, Statistical Methods, Statistics, Statistical Analysis, Quantitative Research, Data Analysis Software
Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Software, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis
Best Statistics With R courses from Duke University
Top-rated Statistics With R courses offered by Duke University on Coursera.
- Data Analysis with RDuke UniversityBeginnerDuke University
- Data Science with RDuke UniversityBeginner1 - 3 MonthsDuke University
- Introduction to Probability and Data with RDuke UniversityBeginner1 - 3 MonthsDuke University
Best Statistics With R certificate programs
Earn a certificate in Statistics With R from top universities and companies.
- Statistical Analysis with R for Public HealthImperial College LondonBeginner3 - 6 MonthsSpecialization
- Statistics with PythonUniversity of MichiganBeginner1 - 3 MonthsSpecialization
- Data Science: Foundations using RJohns Hopkins UniversityBeginner3 - 6 MonthsSpecialization
Best Statistics With R courses for beginners
Top-rated beginner-friendly Statistics With R courses with no prerequisites.
- Introduction to R Programming for Data ScienceIBMBeginner1 - 3 MonthsNo prerequisites
- Applied Data Science with RIBMBeginner3 - 6 MonthsNo prerequisites
- Basic StatisticsUniversity of AmsterdamBeginner1 - 3 MonthsNo prerequisites
