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 Cleansing, Data Wrangling, R Programming, Data Preprocessing, Applied Machine Learning, Statistical Analysis, R (Software), Model Evaluation, Statistical Machine Learning, Classification And Regression Tree (CART), Statistical Programming, Statistical Modeling, Logistic Regression, Machine Learning Methods, Random Forest Algorithm, Data Transformation, Statistical Methods, Model Training, Predictive Modeling, Machine Learning
Skills you'll gain: Dimensionality Reduction, R Programming, Time Series Analysis and Forecasting, Statistical Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Unsupervised Learning, Predictive Modeling, Machine Learning, Text Mining, Classification Algorithms, Artificial Neural Networks, Forecasting, Data Mining, Data Preprocessing, Model Optimization, Model Evaluation, Exploratory Data Analysis
University of Colorado Boulder
Skills you'll gain: R Programming, Rmarkdown, R (Software), Tidyverse (R Package), Ggplot2, Data Import/Export, Data Visualization, Plot (Graphics), Statistical Visualization, Data Analysis, Statistical Reporting, Data Visualization Software, Data Presentation, Data Science, Data Manipulation, Statistical Analysis, Data Wrangling, Data Cleansing, Data Integration, Communication
Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing
University of Michigan
Skills you'll gain: Data Visualization, Statistical Visualization, Surveys, Tidyverse (R Package), Data Analysis, Demography, Public Administration, R (Software), Policy Analysis, Public Policies, R Programming, Statistical Programming, Analytics, Data Transformation, Programming Principles, Data Manipulation
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
Ball State University
Skills you'll gain: Data Ethics, Data Collection, Probability & Statistics, Statistics, Sampling (Statistics), R (Software), Data Science, R Programming, Statistical Methods, General Science and Research, Data Structures, Data Analysis, Statistical Programming, Responsible AI, Information Privacy, Informed Consent, Social Impact, Ethical Standards And Conduct, Algorithms, Big Data
Arizona State University
Skills you'll gain: Data Storage Technologies, Probability & Statistics, Statistics, Data Store, Mathematical Software, Data Storage, Data Access, Statistical Machine Learning, Database Software, Statistical Hypothesis Testing, Data Manipulation, Data Transformation, Model Evaluation
Case Western Reserve University
Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Analysis, Spatial Data Analysis, Descriptive Statistics, Box Plots, Geospatial Mapping, Statistical Modeling, Geospatial Information and Technology, R Programming, Plot (Graphics), Rmarkdown, Data Analysis, Data Cleansing, Statistical Methods, R (Software), Statistical Programming, Data Wrangling, Simulations, Package and Software Management
Universidades Anáhuac
Skills you'll gain: Ggplot2, R (Software), Data Visualization, R Programming, Statistical Visualization, Data Presentation, Data Analysis, Data Science, Data Manipulation, Data Literacy, Statistical Programming, Programming Principles, Graphing, Software Installation, Integrated Development Environments
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Data Import/Export, R (Software), Data Wrangling, R Programming, Data Manipulation, Data Analysis, Ggplot2, Relational Databases, Data Transformation, Data Cleansing, Programming Principles
Johns Hopkins University
Skills you'll gain: Data Import/Export, Web Scraping, Tidyverse (R Package), Data Wrangling, Data Integration, Data Manipulation, JSON, Data Transformation, Relational Databases, R (Software), Google Sheets, Unstructured Data, R Programming, Extensible Markup Language (XML), Spreadsheet Software, Databases, SQL, Data Structures, File I/O, Application Programming Interface (API)
In summary, here are 10 of our most popular r for data science courses
- Regression Analysis for Statistics & Machine Learning in R: Packt
- Advanced Machine Learning with R: Apply & Predict: EDUCBA
- R Programming and Tidyverse Capstone Project: University of Colorado Boulder
- R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
- Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
- Data Analysis in R: Predictive Analysis with Regression: Coursera
- Introduction to Data Science: Ball State University
- Modern Statistical Computing and Regression Modeling in R: Arizona State University
- Using R for Geostatistical Geospatial Modeling : Case Western Reserve University
- Introducción a R: Universidades Anáhuac
