R courses can help you learn data manipulation, statistical analysis, data visualization, and programming fundamentals. You can build skills in creating reproducible research, performing regression analysis, and implementing machine learning algorithms. Many courses introduce tools like RStudio and packages such as ggplot2 and dplyr, which enhance your ability to analyze datasets and present findings effectively.

Skills you'll gain: Rmarkdown, Ggplot2, R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Data Structures
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Programming Principles, Data Manipulation, Data Structures, Performance Tuning, Data Import/Export
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Data Integration, Knitr, Data Sharing, GitHub, Machine Learning
Beginner · Specialization · 3 - 6 Months
Duke University
Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Analysis, Statistics, Data Analysis Software, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Statistical Methods, Data Visualization
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments
Beginner · Course · 1 - 3 Months

Microsoft
Skills you'll gain: Debugging, R Programming, Data Structures, Microsoft Development Tools, Software Documentation, Programming Principles, Development Environment, Data Manipulation, Data Transformation, Scripting
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Data Analysis, Model Evaluation, R Programming, Data Manipulation, Data Visualization, Predictive Analytics, Statistical Analysis, Data Science, Regression Analysis, Statistical Modeling, Data Cleansing, Data Preprocessing, Feature Engineering, Forecasting
Intermediate · Course · 1 - 3 Months
Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Data Visualization, Data Wrangling, Dashboard, Exploratory Data Analysis, Relational Databases, Data Analysis, Ggplot2, Model Evaluation, Data Presentation, SQL, Plot (Graphics), Databases, Data Manipulation, Web Scraping, R Programming
Beginner · Specialization · 3 - 6 Months

Johns Hopkins University
Skills you'll gain: Rmarkdown, Shiny (R Package), Ggplot2, Tidyverse (R Package), Data Visualization, Spatial Data Analysis, Statistical Visualization, Scatter Plots, Plot (Graphics), Dashboard, Data Import/Export, Interactive Data Visualization, R Programming, Data Visualization Software, Geospatial Information and Technology, Data Literacy, Statistical Reporting, Storyboarding, Data Science, Data Analysis
Beginner · Specialization · 3 - 6 Months

Imperial College London
Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health
Beginner · Specialization · 3 - 6 Months

Microsoft
Skills you'll gain: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Software Documentation, R Programming, Data Quality, Microsoft Copilot
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Data Storytelling, Data Presentation, Data Visualization, Interactive Data Visualization, Data Visualization Software, Database Design, Shiny (R Package), Dashboard, Data Wrangling, Exploratory Data Analysis, Relational Databases, Data Analysis, Statistical Visualization, Big Data, Microsoft Excel, IBM Cognos Analytics, Analytical Skills, Excel Formulas, Data Manipulation, Web Scraping
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
R is a programming language and software environment primarily used for statistical computing and data analysis. It is important because it provides a robust framework for data manipulation, statistical modeling, and visualization, making it a popular choice among data scientists, statisticians, and researchers. R's extensive libraries and packages enable users to perform complex analyses and create high-quality graphics, which are essential in various fields such as finance, healthcare, and social sciences.‎
With skills in R, you can pursue various job roles, including data analyst, data scientist, statistician, and research analyst. These positions often require the ability to analyze data sets, create visualizations, and interpret statistical results. Additionally, R is valuable in industries such as finance, healthcare, and academia, where data-driven decision-making is crucial. As organizations increasingly rely on data, the demand for professionals skilled in R continues to grow.‎
To effectively learn R, you should focus on several key skills. First, understanding the basics of programming concepts is essential, including data types, control structures, and functions. Next, familiarize yourself with data manipulation and analysis using packages like dplyr and tidyr. Additionally, learning how to visualize data with ggplot2 and perform statistical analyses will enhance your capabilities. Finally, gaining experience with R Markdown for reporting and documentation can significantly improve your workflow.‎
Some of the best online courses for learning R include the Applied Data Science with R Specialization and the Data Science: Foundations using R Specialization. These courses cover essential topics such as data manipulation, visualization, and statistical analysis, providing a comprehensive foundation for anyone looking to enhance their skills in R.‎
__Yes. You can start learning r on Coursera for free in two ways:
If you want to keep learning, earn a certificate in r, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.__‎
To learn R effectively, start by exploring online courses that introduce the basics of the language. Engage with interactive coding environments and practice writing R scripts. Utilize resources like R documentation and community forums for support. Additionally, working on real-world projects can help reinforce your learning and build your portfolio.‎
R courses typically cover a range of topics, including data manipulation, statistical analysis, data visualization, and machine learning. You may also encounter specialized subjects such as time series analysis, data wrangling, and reporting with R Markdown. These topics equip learners with the skills needed to analyze and interpret data effectively.‎
For training and upskilling employees, the IBM Data Analytics with Excel and R Professional Certificate and the Data Analytics in the Public Sector with R Specialization are excellent options. These programs focus on practical applications of R in various industries, helping employees develop relevant skills that can be applied directly to their work.‎