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
Skills you'll gain: Ggplot2, Data Visualization Software, Data Visualization, Statistical Visualization, Rmarkdown, Shiny (R Package), Plot (Graphics), Dashboard Creation, Dashboard, Leaflet (Software), Interactive Data Visualization, Data Presentation, R (Software), R Programming, Scatter Plots, Graphing, Box Plots, Geospatial Information and Technology, Data Science, Data Analysis
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Financial Forecasting, Statistical Methods, Model Training, Data Validation, Verification And Validation, Plot (Graphics), Performance Metric
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
University of Colorado Boulder
Skills you'll gain: Rmarkdown, Ggplot2, R (Software), Plot (Graphics), Data Visualization, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis Software, Statistical Reporting, Data Analysis, Data Validation, Data Transformation, Code Reusability, Software Installation, Programming Principles, Aesthetics
Skills you'll gain: R (Software), R Programming, Computational Logic, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
Skills you'll gain: Statistical Inference, Probability Distribution, R Programming, Statistical Visualization, R (Software), Statistical Programming, Statistical Methods, Probability & Statistics, Statistics, Data Visualization, Statistical Analysis, Plot (Graphics), Statistical Modeling, Statistical Hypothesis Testing, Data Analysis, Probability
Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis
Skills you'll gain: Tidyverse (R Package), Rmarkdown, Predictive Modeling, Model Evaluation, File Management, R (Software), Data Governance, Responsible AI, Data Manipulation, R Programming, Research Reports, Metadata Management, Data Quality, Predictive Analytics, Data Wrangling, Data Ethics, Business Research, Statistical Reporting, Market Research, Statistical Analysis
Skills you'll gain: Model Evaluation, Classification Algorithms, R Programming, Apache Spark, Deep Learning, Applied Machine Learning, Data Wrangling, Keras (Neural Network Library), Unsupervised Learning, Model Training, Statistical Machine Learning, Data Manipulation, Machine Learning Methods, Machine Learning Algorithms, Data Science, Machine Learning, Tidyverse (R Package), Data Analysis, Bayesian Network, Logistic Regression
Skills you'll gain: Exploratory Data Analysis, Data Literacy, Data Analysis, Package and Software Management, R Programming, R (Software), Statistical Analysis, Tidyverse (R Package), Data Wrangling, Data Analysis Software, Data Manipulation, Statistical Visualization
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, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control
Logical 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
In summary, here are 10 of our most popular statistics with r courses
- Data Visualization with R:Â IBM
- Predict and Validate Regression Models in R:Â Coursera
- Introduction to Probability and Data with R:Â Duke University
- Introduction to R Programming and Tidyverse:Â University of Colorado Boulder
- Introduction to R: Basic R syntax:Â Coursera
- Using probability distributions for real world problems in R:Â Coursera
- Data Analysis in R: Predictive Analysis with Regression:Â Coursera
- Market Research Data Analysis and Governance with R:Â Coursera
- Machine Learning with R:Â Packt
- Analyze Data: Visualize, Summarize, and R:Â Coursera
