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.
University of Michigan
Skills you'll gain: R (Software), Model Evaluation, Statistical Modeling, Statistics, Data Visualization, Data Analysis, Sampling (Statistics), Data Wrangling, Data Manipulation, Predictive Modeling, Correlation Analysis, Histogram, Biostatistics, Statistical Reporting, Statistical Analysis, Statistical Hypothesis Testing, Scripting, Statistical Software, Package and Software Management, Scripting Languages
★ 4.9 (15) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Descriptive Statistics, Probability & Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistics, Predictive Modeling, Statistical Programming, Statistical Analysis, Statistical Methods, Data Science, Data Analysis, Statistical Modeling, Histogram, Statistical Visualization, Pandas (Python Package), NumPy, Statistical Inference, Predictive Analytics, Probability, Model Evaluation
★ 5 (6) · Mixed · Course · 1 - 4 Weeks

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
★ 4.2 (1.5K) · Beginner · Specialization · 3 - 6 Months

O.P. Jindal Global University
Skills you'll gain: Sampling (Statistics), Statistical Programming, Statistical Analysis, Probability Distribution, Data Visualization, Statistical Hypothesis Testing, Descriptive Statistics, Statistical Methods, Correlation Analysis, Regression Analysis, R (Software), R Programming, Probability & Statistics, Statistics, Statistical Modeling, Statistical Visualization, Statistical Inference, Classification And Regression Tree (CART), Probability, Big Data
Mixed · Course · 1 - 3 Months

Skills you'll gain: Database Design, Relational Databases, SQL, Database Development, Databases, R Programming, R (Software), Data Science, Query Languages, Data Access, Data Manipulation, Data Analysis
★ 4.4 (194) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Plot (Graphics), Data Manipulation, Plotly, Data Visualization, Web Scraping, Statistical Visualization, Interactive Data Visualization, Data Visualization Software, Data Wrangling, Data Processing, Data Cleansing, Data Transformation, Statistical Programming, Programming Principles, Data Structures
★ 4.7 (6) · Beginner · Course · 1 - 3 Months

Skills you'll gain: Jupyter, R (Software), R Programming, Computer Programming Tools, GitHub, Software Development Tools, Data Visualization Software, Data Science, Statistical Programming, Cloud Hosting, Scikit Learn (Machine Learning Library), Cloud Services, Cloud API, Cloud Computing, Git (Version Control System), Cloud Platforms, Other Programming Languages, Integrated Development Environments, Version Control, Python Programming
★ 4.5 (30K) · Beginner · Course · 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Probability & Statistics, Statistical Modeling, Statistical Methods, Descriptive Analytics, Tidyverse (R Package), Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Wrangling
★ 4.9 (7) · Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Processing, Data Cleansing, Data Wrangling, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Data-Driven Decision-Making, Pivot Tables And Charts, Data Analysis, Statistical Methods, Python Programming, Data Import/Export, Scripting Languages, Probability & Statistics, Programming Principles, Text Mining
★ 4.5 (27K) · Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Predictive Modeling, Model Evaluation, Data Visualization, Statistical Analysis, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Data Mining, Advanced Analytics, Statistical Modeling, Risk Modeling, R (Software), R Programming, Data Preprocessing, Data Cleansing, Transaction Processing, Unsupervised Learning, Model Training, Model Optimization, Machine Learning
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Sampling (Statistics), Matplotlib, Data Analysis, Machine Learning Algorithms, Data Mining, Statistical Analysis, Statistical Hypothesis Testing, Plot (Graphics), Probability & Statistics, NumPy, Pandas (Python Package), Probability Distribution, Dimensionality Reduction, Model Evaluation, R Programming, Python Programming, Data Preprocessing, Applied Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML)
★ 4.7 (34) · Beginner · Specialization · 3 - 6 Months

Universitat Politècnica de València
Skills you'll gain: Plot (Graphics), R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Statistical Programming, Model Training, Data Structures, Programming Principles, Data Analysis, Machine Learning Methods, Data Visualization, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation
Intermediate · Course · 1 - 4 Weeks