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
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 Programming, Statistical Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Science and Research, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Analysis, R Programming, Descriptive Analytics, Descriptive Statistics, Statistical Software, Statistical Modeling, Biostatistics, Quantitative Research, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, R (Software)
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, Probability & Statistics, Statistical Modeling, Statistical Methods, Descriptive Analytics, Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Predictive Modeling, Data Wrangling
Johns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Methods, Data Analysis, Debugging, Simulations, Program Development, Programming Principles, Software Installation, Data Structures, Performance Tuning, Data Import/Export
University of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Modeling, Statistical Methods, Statistical Inference, Statistics, Bayesian Statistics, Data Visualization, Plot (Graphics), Data Literacy, Scientific Visualization, Matplotlib, Statistical Visualization, Statistical Software, Probability & Statistics, Model Evaluation, Data-Driven Decision-Making, Statistical Analysis, Jupyter, Python Programming
What brings you to Coursera today?
Skills you'll gain: R (Software), Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Programming Principles, Jupyter, File I/O, Integrated Development Environments, Development Environment
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, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)
Skills you'll gain: Logistic Regression, Statistical Modeling, Statistics, Statistical Hypothesis Testing, Statistical Reporting, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Data Analysis, Regression Analysis, Advanced Analytics, Time Series Analysis and Forecasting, Statistical Programming, R Programming, R (Software), Predictive Modeling, Analytics, Technical Communication, Analysis
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Statistical Visualization, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), SQL, R (Software), Data Manipulation, Web Scraping
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Histogram, R (Software), Statistical Methods, Statistical Programming, Probability & Statistics, Descriptive Analytics, Statistics, Statistical Software, Data Science
Duke University
Skills you'll gain: Risk Modeling, Portfolio Risk, Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, R (Software), Financial Data, Return On Investment, R Programming, Portfolio Management, Statistical Programming, Financial Analysis, Securities (Finance), Equities, Time Series Analysis and Forecasting, Statistical Modeling, Data Access
Johns Hopkins University
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization Software, Statistical Visualization, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software, Graphic and Visual Design
What brings you to Coursera today?
Best Statistics With R courses from IBM
Top-rated Statistics With R courses offered by IBM on Coursera.
- Introduction to R Programming for Data ScienceIBMBeginner1 - 3 MonthsIBM
- Data Analysis with RIBMIntermediate1 - 3 MonthsIBM
- Applied Data Science with RIBMBeginner3 - 6 MonthsIBM
Best Statistics With R certificate programs
Earn a certificate in Statistics With R from top universities and companies.
- Data Analysis with RDuke UniversityBeginner3 - 6 MonthsSpecialization
- Statistical Analysis with R for Public HealthImperial College LondonBeginner3 - 6 MonthsSpecialization
- Statistics with PythonUniversity of MichiganBeginner1 - 3 MonthsSpecialization
Best Statistics With R courses for beginners
Top-rated beginner-friendly Statistics With R courses with no prerequisites.
- Statistical Analysis and Advanced TechniquesMicrosoftBeginner1 - 3 MonthsNo prerequisites
- Calculating Descriptive Statistics in RCourseraBeginnerLess Than 2 HoursNo prerequisites
