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
Status: Free TrialDuke University
Skills you'll gain: Bayesian Statistics, Sampling (Statistics), Exploratory Data Analysis, Statistical Hypothesis Testing, Statistical Inference, Peer Review, Regression Analysis, Probability Distribution, Statistical Software, Statistical Analysis, Probability, Statistical Reporting, Data Analysis, R (Software), Statistics, Probability & Statistics, Statistical Modeling, R Programming, Statistical Methods, Data Visualization
Status: Free TrialSkills you'll gain: Rmarkdown, Ggplot2, R (Software), R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Package and Software Management, Data Structures
Status: NewStatus: Free TrialLogical Operations
Skills you'll gain: R Programming, R (Software), Data Science, Data Analysis, Statistical Modeling, Data Visualization, Statistical Analysis, Statistical Visualization, Regression Analysis, Statistical Machine Learning, Plot (Graphics), Data Structures, Computer Programming, Decision Tree Learning, Machine Learning Methods, Machine Learning, Software Development, Computer Programming Tools, Data Import/Export, Machine Learning Algorithms
Status: Free TrialSkills you'll gain: Dashboard, Relational Databases, Data Wrangling, Rmarkdown, Data Visualization, Data Visualization Software, Plot (Graphics), Exploratory Data Analysis, Shiny (R Package), Ggplot2, SQL, Model Evaluation, Data Collection, Interactive Data Visualization, Data Transformation, Leaflet (Software), Databases, R Programming, Data Structures, Data Analysis
Status: Free TrialImperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Data Wrangling, Exploratory Data Analysis, Model Evaluation, Data Analysis, Data Transformation, Regression Analysis, Data Visualization, Data Manipulation, R Programming, Predictive Analytics, Statistical Analysis, Statistical Modeling, Data Science, Data Cleansing, Data Preprocessing, Forecasting, Data Import/Export, Performance Tuning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Modeling, Sampling (Statistics), Statistical Inference, Data-Driven Decision-Making, Descriptive Statistics, Data Visualization, Statistical Methods, Bayesian Statistics, Statistical Hypothesis Testing, Data Visualization Software, Histogram, Statistics, Jupyter, Probability & Statistics, Model Evaluation, Matplotlib, Statistical Analysis, Data Analysis, Statistical Programming, Python Programming
Status: Free TrialJohns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Status: NewStatus: PreviewO.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Analysis, Probability Distribution, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Statistical Modeling, Statistical Inference, Probability, Big Data, Decision Tree Learning
Status: Free TrialJohns Hopkins University
Skills you'll gain: Exploratory Data Analysis, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Plot (Graphics), Rmarkdown, Statistical Programming, Data Science, Statistical Visualization, Ggplot2, Version Control, Data Transformation, Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Status: Free TrialSkills you'll gain: Dashboard, Rmarkdown, Data Visualization, Data Visualization Software, Plot (Graphics), Ggplot2, Interactive Data Visualization, Shiny (R Package), Leaflet (Software), R Programming, Data Presentation, Graphing, Scatter Plots, Box Plots, Histogram, Spatial Data Analysis, Data Science, User Interface (UI), Data Analysis
What brings you to Coursera today?
Searches related to statistics with r
In summary, here are 10 of our most popular statistics with r courses
- Data Analysis with R:Â Duke University
- Data Analysis with R Programming:Â Google
- R Programming for Data Science:Â Logical Operations
- Applied Data Science with R:Â IBM
- Statistical Analysis with R for Public Health:Â Imperial College London
- Data Visualization & Dashboarding with R:Â Johns Hopkins University
- Data Analysis with R:Â IBM
- Statistics with Python:Â University of Michigan
- R Programming:Â Johns Hopkins University
- Statistical Methods and Data Analysis :Â O.P. Jindal Global University
