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
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, R (Software), Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Visualization, Data Processing, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, Knitr, Data Sharing, Statistical Reporting, GitHub, Machine Learning
Johns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Software, Data Analysis, Data Analysis Software, Debugging, Simulations, Programming Principles, Software Installation, Performance Tuning, Data Import/Export
Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Statistical Visualization, Dashboard Creation, Scatter Plots, Plot (Graphics), Dashboard, R (Software), Data Import/Export, Data Visualization Software, Interactive Data Visualization, R Programming, Statistical Reporting, Data Storytelling, Data Presentation, Data Science, Data Analysis
Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Database Design, Data Presentation, Ggplot2, Data Visualization Software, Data Visualization, Relational Databases, Data Collection, Predictive Modeling, Statistical Analysis, Data Analysis, Rmarkdown, Model Evaluation, Shiny (R Package), Interactive Data Visualization, SQL, Data Manipulation, Web Scraping, R Programming
What brings you to Coursera today?
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, Machine Learning Methods, Ggplot2, Data Manipulation, Convolutional Neural Networks, Plotly, Applied Machine Learning, Machine Learning Algorithms
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, Predictive Modeling, Tidyverse (R Package), Data Visualization, Data Analysis, Plot (Graphics), Data Transformation, R Programming, Data Science, Data Wrangling, Data Presentation, Version Control
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, R (Software), Statistical Reporting, Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Methods, Statistics, Statistical Software, Data Analysis Software, Data Analysis, Probability, R Programming, Statistical Modeling, Data Visualization
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
University of Colorado Boulder
Skills you'll gain: Tidyverse (R Package), Rmarkdown, R Programming, Ggplot2, R (Software), Data Import/Export, Data Visualization, Data Wrangling, Data Manipulation, Data Presentation, Data Analysis, Data Science, Data Cleansing, Data Transformation, Data Integration, Software Installation, Programming Principles, Communication, Aesthetics
Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, Data Science, Data Access, Data Manipulation, Data Analysis
Best R For Data Science courses from IBM
Top-rated R For Data Science courses offered by IBM on Coursera.
- Introduction to R Programming for Data ScienceIBMBeginnerIBM
- Applied Data Science with RIBMBeginner3 - 6 MonthsIBM
- SQL for Data Science with RIBMBeginner1 - 3 MonthsIBM
Best R For Data Science certificate programs
Earn a certificate in R For Data Science from top universities and companies.
- Data Science: Foundations using RJohns Hopkins UniversityBeginner3 - 6 MonthsSpecialization
- Data Visualization & Dashboarding with RJohns Hopkins UniversityBeginner3 - 6 MonthsSpecialization
- R Ultimate 2024 - R for Data Science and Machine LearningPacktBeginner3 - 6 MonthsSpecialization
Best R For Data Science courses for beginners
Top-rated beginner-friendly R For Data Science courses with no prerequisites.
- Data Science with RDuke UniversityBeginner1 - 3 MonthsNo prerequisites
- Data Analysis with RDuke UniversityBeginner3 - 6 MonthsNo prerequisites
- Expressway to Data Science: R Programming and TidyverseUniversity of Colorado BoulderBeginner1 - 3 MonthsNo prerequisites
