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 TrialJohns Hopkins University
Skills you'll gain: Shiny (R Package), Dashboard, Ggplot2, Interactive Data Visualization, Data Visualization Software, Data Presentation, Application Development, Data Sharing, UI Components, Application Deployment
Status: Free TrialImperial College London
Skills you'll gain: Logistic Regression, Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Statistics, Model Evaluation, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Probability & Statistics, Public Health, Data Preprocessing
Status: Free TrialImperial College London
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, R (Software), Exploratory Data Analysis, Model Evaluation, Statistical Analysis, Probability & Statistics, Biostatistics, Data Import/Export
Status: PreviewUniversity of Cape Town
Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Data Science, R Programming, Data Modeling, Statistical Analysis, Predictive Modeling, Mathematical Modeling, Probability & Statistics, Model Evaluation, Feature Engineering
Status: Free TrialJohns Hopkins University
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Applied Machine Learning, Unsupervised Learning, Correlation Analysis, Data Cleansing, R Programming, Data Quality, Machine Learning, Machine Learning Algorithms, Data Manipulation, Data Mining, Exploratory Data Analysis, Data Integrity
Status: PreviewUniversiteit Leiden
Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Analysis, Descriptive Statistics, Statistical Methods, Probability & Statistics, Data Ethics, Data Collection, Exploratory Data Analysis, Statistical Reporting, Logistic Regression, Statistical Modeling, Data Cleansing
Status: PreviewDuke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, Bayesian Statistics, Data Analysis, Statistical Analysis, Probability, R Programming, Statistics, Quantitative Research, Descriptive Statistics, Statistical Inference
Skills you'll gain: Sampling (Statistics), Statistical Methods, Descriptive Statistics, Statistical Visualization, Data Import/Export, Pareto Chart, Histogram, Statistical Analysis, R (Software), Box Plots, R Programming, Data Synthesis, Probability Distribution, Probability & Statistics, Exploratory Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Statistical Inference, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Sampling (Statistics), Jupyter, Python Programming, Matplotlib, NumPy
Status: NewStatus: PreviewSkills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms
In summary, here are 10 of our most popular statistics with r courses
- Publishing Visualizations in R with Shiny and flexdashboard: Johns Hopkins University
- Logistic Regression in R for Public Health: Imperial College London
- Linear Regression in R for Public Health : Imperial College London
- Doing Clinical Research: Biostatistics with the Wolfram Language: University of Cape Town
- Modern Regression Analysis in R: University of Colorado Boulder
- Advanced Data Visualization with R: Johns Hopkins University
- Machine Learning Projects in R with Caret: EDUCBA
- Population Health: Responsible Data Analysis: Universiteit Leiden
- R을 사용한 확률 및 데이터 소개: Duke University
- RStudio for Six Sigma - Basic Descriptive Statistics: Coursera
