Courses in R for Data Analysis can help you learn data manipulation, statistical modeling, data visualization, and hypothesis testing. You can build skills in cleaning datasets, performing regression analysis, and creating informative graphs. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, showing how these tools facilitate efficient data analysis and enhance the presentation of findings.

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
Beginner Ā· Course Ā· 1 - 4 Weeks

UniversitĆ di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
ā 4.9 (10) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

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
ā 4.7 (7) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Open Source Technology, Package and Software Management, Unit Testing, R (Software), GitHub, Version Control, Rmarkdown, Cross Platform Development, Software Versioning, Software Documentation, Test Case, Testability, R Programming, Code Reusability, Knitr, Continuous Integration, Program Development, Build Tools, Git (Version Control System), Development Testing
ā 4.1 (223) Ā· Intermediate Ā· Course Ā· 1 - 4 Weeks

Duke University
Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Data Integration, R (Software), R Programming, Exploratory Data Analysis, Statistical Programming
ā 5 (16) Ā· Beginner Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Ggplot2, Data Analysis, Plot (Graphics), Data Visualization, R (Software), Regression Analysis, Data Presentation, R Programming, Statistical Analysis, Data Visualization Software, Statistical Visualization, Data Quality, Scatter Plots, Anomaly Detection, Probability & Statistics, Descriptive Statistics, Analytical Skills, Correlation Analysis
Beginner Ā· Course Ā· 1 - 4 Weeks

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)
ā 4.7 (51) Ā· Beginner Ā· Course Ā· 1 - 3 Months

University of Colorado Boulder
Skills you'll gain: Classification Algorithms, Applied Machine Learning, Machine Learning Methods, Dimensionality Reduction, Data Analysis, Supervised Learning, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Data Mining, Predictive Modeling, Model Evaluation, Regression Analysis, Decision Tree Learning, Statistical Methods, Project Planning, Logistic Regression
ā 5 (7) Ā· Intermediate Ā· Course Ā· 1 - 3 Months

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
ā 4.6 (16) Ā· Mixed Ā· Course Ā· 1 - 4 Weeks

Skills you'll gain: Data Visualization, Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Business Analysis, Data Wrangling, Case Studies, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies
ā 4.8 (10) Ā· Beginner Ā· Guided Project Ā· Less Than 2 Hours

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
Beginner Ā· Course Ā· 1 - 3 Months

Duke University
Skills you'll gain: Exploratory Data Analysis, Sampling (Statistics), Probability Distribution, R (Software), R Programming, Probability & Statistics, Statistical Programming, Bayesian Statistics, Data Collection, Data Analysis, Probability, Statistical Software, Statistics, Statistical Analysis, Data Analysis Software, Statistical Methods, Data Science, Descriptive Statistics, Statistical Inference
Beginner Ā· Course Ā· 1 - 3 Months