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: Sampling (Statistics), Exploratory Data Analysis, R (Software), Probability & Statistics, Statistical Inference, Probability Distribution, Bayesian Statistics, R Programming, Data Analysis, Probability, Statistics, Statistical Methods, Statistical Analysis, Statistical Software, Descriptive Statistics
Skills you'll gain: Descriptive Statistics, Data Visualization, Statistical Analysis, Data Presentation, Data Analysis, Probability Distribution, Statistics, Statistical Methods, Statistical Hypothesis Testing, Data Science, Statistical Programming, Data Visualization Software, Probability & Statistics, Jupyter, Regression Analysis, Statistical Modeling, Descriptive Analytics, Statistical Inference, Correlation Analysis, Probability
University of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability
Johns Hopkins University
Skills you'll gain: Ggplot2, Software Documentation, Open Source Technology, R (Software), Plot (Graphics), Tidyverse (R Package), Package and Software Management, Web Scraping, Data Manipulation, Data Visualization Software, Leaflet (Software), R Programming, Data Wrangling, Data Visualization, Data Preprocessing, Technical Documentation, Unit Testing, Data Cleansing, Object Oriented Programming (OOP), Object Oriented Design
Coursera
Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis, Data Science
Logical Operations
Skills you'll gain: Ggplot2, R Programming, Plot (Graphics), Data Visualization, Data Manipulation, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Presentation, Data Visualization, Data Collection, Predictive Modeling, Interactive Data Visualization, Web Scraping, Shiny (R Package), Ggplot2, Data Analysis, Data Cleansing, Predictive Analytics, Tidyverse (R Package), Regression Analysis, Data Transformation, Data Science, Dashboard, Statistical Analysis, Dashboard Creation
Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms
Skills you'll gain: Descriptive Statistics, Statistical Programming, R Programming, R (Software), Statistical Reporting, Data Quality, Data Preprocessing, Data Cleansing, Statistics, Data Processing, Statistical Methods, Statistical Software, Data Analysis Software, Statistical Analysis, Data Import/Export
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Data Import/Export, Statistical Visualization, Data Wrangling, Statistical Reporting, Data Visualization Software, Data Presentation, Data Analysis, Data Science, Data Manipulation, Statistical Analysis, Relational Databases, Data Cleansing, Communication
Johns Hopkins University
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Data Visualization, Statistical Visualization, Spatial Analysis, Geospatial Information and Technology, Data Manipulation, Scatter Plots, R (Software), Plotly, Interactive Data Visualization, R Programming, Geospatial Mapping, Statistical Reporting, Data Wrangling, Graphing
Logical Operations
Skills you'll gain: Data Processing, R Programming, Data Manipulation, Data Structures, Statistical Programming, Data Analysis, Computational Logic, Data Analysis Software, Data Preprocessing, Software Installation, Data Science, Development Environment, Computer Programming, Program Development, Computer Programming Tools, Software Development
In summary, here are 10 of our most popular statistics with r courses
- Introduction to Probability and Data with R:Â Duke University
- Statistics for Data Science with Python:Â IBM
- Statistics and Data Analysis with Excel, Part 2:Â University of Colorado Boulder
- Mastering Software Development in R:Â Johns Hopkins University
- Getting Started with R:Â Coursera
- R Programming: Data Analysis and Modeling:Â Logical Operations
- Data Science with R - Capstone Project:Â IBM
- R Ultimate 2024 - R for Data Science and Machine Learning:Â Packt
- Using Descriptive Statistics to Analyze Data in R:Â Coursera
- Expressway to Data Science: R Programming and Tidyverse:Â University of Colorado Boulder
