R for Data Science Courses
R for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning techniques. You can build skills in exploratory data analysis, hypothesis testing, and predictive modeling. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, that support creating visual representations of data and performing complex data transformations. By engaging with these tools and methods, you can effectively analyze datasets and derive meaningful insights.
Popular R for Data Science Courses and Certifications
Skills you'll gain: Data Visualization, Statistical Analysis, Predictive Modeling, Advanced Analytics, R (Software), R Programming, Statistical Methods, Data Manipulation, Business Analytics, Data Analysis, Predictive Analytics, Analysis, Probability & Statistics, Analytics, Analytical Skills, Statistical Modeling, Data Analysis Software, Regression Analysis, Statistical Programming, Time Series Analysis and Forecasting
University of Michigan
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Plot (Graphics), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Data Analysis, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Statistical Reporting, Scripting, Package and Software Management, Scripting Languages, Data Transformation
Skills you'll gain: Data Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Advanced Analytics, Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Machine Learning
Johns Hopkins University
Skills you'll gain: R (Software), Tidyverse (R Package), Web Scraping, Data Manipulation, Data Wrangling, R Programming, Data Transformation, Memory Management, Data Cleansing, Data Science, Statistical Programming, Data Integration, Data Processing, Text Mining, Data Import/Export, Web Services, Data Analysis, Data Structures, Application Programming Interface (API)
Skills you'll gain: Rmarkdown, Knitr, Model Evaluation, Data Wrangling, Tidyverse (R Package), Predictive Analytics, Predictive Modeling, Data Analysis, R (Software), Statistical Reporting, R Programming, Data Quality, Data Manipulation, Data Integration, Data Transformation, Statistical Modeling, Extract, Transform, Load, Data Pipelines, Performance Analysis, Performance Metric
Coursera
Skills you'll gain: Web Scraping, R (Software), Relational Databases, Statistical Software, Data Import/Export, R Programming, Databases, Microsoft Excel
Skills you'll gain: Data Analysis, Machine Learning Algorithms, Statistical Analysis, Probability & Statistics, Probability Distribution, R Programming, Machine Learning Methods, Statistical Methods, R (Software), Applied Machine Learning, Statistical Machine Learning, Statistics, Statistical Modeling, Machine Learning, Statistical Inference, Classification Algorithms, Statistical Programming, Correlation Analysis, Data Manipulation, Supervised Learning
Skills you'll gain: Regression Analysis, Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, R Programming, Statistical Methods, Model Training, Verification And Validation, Plot (Graphics), Performance Metric
Johns Hopkins University
Skills you'll gain: R (Software), Object Oriented Programming (OOP), Object Oriented Design, R Programming, Debugging, Code Reusability, Functional Design, Programming Principles, Computer Programming Tools, Data Structures, Analysis, Performance Tuning, Performance Testing
Skills you'll gain: R (Software), R Programming, Computational Logic, Arithmetic, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
Skills you'll gain: Data Manipulation, Statistical Analysis, R (Software), Ggplot2, R Programming, Data Wrangling, Data Transformation, Data Visualization Software, Data Science, Applied Machine Learning, Data Preprocessing, Probability & Statistics, Data Analysis, Statistical Modeling, Machine Learning Methods, Regression Analysis, Statistical Software, Data-Driven Decision-Making, Statistical Programming, Machine Learning
Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Machine Learning Methods, Applied Machine Learning, R (Software), Classification Algorithms, Statistical Machine Learning, Data Wrangling, Machine Learning Algorithms, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Classification And Regression Tree (CART), Feature Engineering, Machine Learning Software, Data Preprocessing, Statistical Programming
In summary, here are 10 of our most popular r for data science courses
- Analyze Data Using R for Statistical and Predictive Modeling: EDUCBA
- Arranging and Visualizing Data in R: University of Michigan
- Regression Analysis for Statistics & Machine Learning in R: Packt
- The R Programming Environment: Johns Hopkins University
- Transform, Analyze, and Report Data with R: Coursera
- Importing Data into R: Coursera
- Machine Learning with R: Build, Analyze & Predict: EDUCBA
- Predict and Validate Regression Models in R: Coursera
- Advanced R Programming: Johns Hopkins University
- Introduction to R: Basic R syntax: Coursera
