What skills can I learn in R programming courses on Coursera?

R programming courses on Coursera offer learners an opportunity to master a wide array of skills essential for data analysis , statistical computing, and graphical representation, including: Fundamentals of R syntax and programming environment Data manipulation and cleaning techniques using R packages like dplyr and tidyr Statistical analysis and model building to interpret complex data sets Creating compelling visualizations with ggplot2 and other visualization tools Developing reproducible reports and interactive web apps with R Markdown and Shiny Applying R in various domains such as finance, healthcare, and academic research

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

Do I need prior experience in programming to enroll in these R courses?

Coursera’s R programming courses are designed to welcome learners at different levels of expertise: No prior programming experience is required for introductory courses, which focus on the basics of R and general programming concepts. Intermediate courses are suitable for learners with some programming background, enhancing their data manipulation and analysis skills. Advanced courses cater to experienced users seeking to deepen their expertise in statistical methods, machine learning, or R package development.

What certifications and credentials can I earn by studying R programming on Coursera?

Engaging in R programming courses on Coursera can lead to several forms of recognition that highlight your skills and dedication: Course Certificates: These certificates demonstrate your success in individual R programming courses, showcasing your skills in specific aspects of the language. Professional Certificates: Obtain these by completing a series of courses that prepare you for data analysis and statistical roles using R. Specializations: Deepen your proficiency with comprehensive course sequences that focus on specific areas such as statistical analysis, machine learning, or advanced data visualization with R.

How can I purchase R programming training courses for my team?

Looking to enhance your team's R programming skills? Coursera provides tailored enterprise solutions for teams ranging of 5-125 employees. Our offerings include advanced analytics, customized learning paths, and collaborative tools. To explore our R programming training options and make a purchase, please visit our Coursera for Teams page.

Top R Courses - Learn R Online

Explore the R Course Catalog

Status: Free Trial
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Transformation, Data Cleansing, Data Science, Big Data, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Debugging, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
Universidades Anáhuac
Introducción a R
Skills you'll gain: Ggplot2, Data Visualization, R Programming, Statistical Visualization, Statistical Programming, Data Analysis, Programming Principles, Data Manipulation, Software Installation, Data Structures, Integrated Development Environments, Data Import/Export
Beginner · Course · 1 - 3 Months
Coursera Project Network
Build and deploy a stroke prediction model using R
Skills you'll gain: Feature Engineering, Predictive Modeling, Predictive Analytics, R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Application Deployment, Data Transformation, Machine Learning Methods, Interactive Data Visualization
4.4
Rating, 4.4 out of 5 stars
18 reviews
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: R Programming, Statistical Programming, Development Environment, Programming Principles, Data Import/Export
4.5
Rating, 4.5 out of 5 stars
46 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphical Tools, Data Wrangling, Tidyverse (R Package), Graphics Software
4.9
Rating, 4.9 out of 5 stars
127 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
Johns Hopkins University
Advanced Data Visualization with R
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Plot (Graphics), Statistical Visualization, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping, Animations
4.9
Rating, 4.9 out of 5 stars
79 reviews
Mixed · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Data Science with R - Capstone Project
Skills you'll gain: Shiny (R Package), Data Presentation, Exploratory Data Analysis, Data Wrangling, Predictive Modeling, Tidyverse (R Package), Data Science, Data Collection, Data Manipulation, Dashboard, Data Analysis, Data Cleansing, Statistical Modeling, R Programming, Regression Analysis, Ggplot2, Data Transformation, Web Scraping, SQL
4.6
Rating, 4.6 out of 5 stars
95 reviews
Intermediate · Course · 1 - 3 Months
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Data Manipulation, Exploratory Data Analysis, Tidyverse (R Package), Statistical Modeling, Data Analysis, Regression Analysis, Data Structures, Data Wrangling, Statistical Analysis, Descriptive Statistics, Programming Principles, Data Transformation, Statistical Inference, Probability & Statistics
4.5
Rating, 4.5 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Status: New
Status: Free Trial
University of Colorado Boulder
Statistics and Data Analysis with R
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Modeling, Statistical Methods, Plot (Graphics), Statistics, Data Manipulation, Analysis, Data Structures
4.8
Rating, 4.8 out of 5 stars
6 reviews
Intermediate · Course · 1 - 3 Months
Status: Free Trial
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Feature Engineering, Statistical Inference, Data Analysis Software, Public Health
4.8
Rating, 4.8 out of 5 stars
365 reviews
Intermediate · Course · 1 - 4 Weeks
Coursera Project Network
Building Statistical Models in R: Linear Regression
Skills you'll gain: Exploratory Data Analysis, Statistical Modeling, Regression Analysis, Data Visualization, Data Analysis, Statistical Methods, Scatter Plots, R Programming, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
19 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free Trial
Imperial College London
Linear Regression in R for Public Health
Skills you'll gain: Correlation Analysis, Regression Analysis, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Statistical Programming, Statistical Software, Statistical Methods, Probability & Statistics, Biostatistics, Epidemiology, Data Import/Export
4.8
Rating, 4.8 out of 5 stars
520 reviews
Intermediate · Course · 1 - 4 Weeks