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

Johns Hopkins University
Getting Started with Data Visualization in R
Skills you'll gain: Rmarkdown, Data Visualization, Data Import/Export, Data Visualization Software, R Programming, Tidyverse (R Package), Statistical Reporting, Data Manipulation, Data Processing, Data Management
4.8
Rating, 4.8 out of 5 stars
288 reviews
Beginner · Course · 1 - 4 Weeks
University of California, Santa Cruz
Bayesian Statistics
Skills you'll gain: Time Series Analysis and Forecasting, Bayesian Statistics, R Programming, Forecasting, Statistical Inference, Statistical Modeling, Technical Communication, Data Analysis, Probability, Statistical Methods, Statistical Analysis, Advanced Analytics, Markov Model, Mathematical Modeling, Microsoft Excel, Probability Distribution, Probability & Statistics, Unsupervised Learning, Regression Analysis, Predictive Modeling
4.6
Rating, 4.6 out of 5 stars
3.5K reviews
Intermediate · Specialization · 3 - 6 Months
Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression
Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Statistics
4.2
Rating, 4.2 out of 5 stars
12 reviews
Intermediate · Guided Project · Less Than 2 Hours
Duke University
Data Visualization and Transformation with R
Skills you'll gain: Ggplot2, R Programming, GitHub, Data Visualization Software, Data Visualization, Git (Version Control System), Statistics, Tidyverse (R Package), Exploratory Data Analysis, Data Analysis, Data Science, Data Transformation, Interactive Data Visualization, Data Wrangling, Data-Driven Decision-Making, Statistical Programming, Statistical Analysis, Data Manipulation, Descriptive Statistics
4.9
Rating, 4.9 out of 5 stars
9 reviews
Beginner · Course · 1 - 4 Weeks
Coursera Project Network
Calculating Descriptive Statistics in R
Skills you'll gain: Descriptive Statistics, Data Analysis, Exploratory Data Analysis, Quantitative Research, R Programming, Statistical Analysis, Statistical Methods, Probability & Statistics
4.8
Rating, 4.8 out of 5 stars
52 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
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 Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Data Processing, Application Deployment, Data Import/Export, Machine Learning
4.4
Rating, 4.4 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours
University of Illinois Urbana-Champaign
Introduction to Business Analytics with R
Skills you'll gain: Tidyverse (R Package), Data Processing, Business Analytics, Data Transformation, Business Intelligence, Data Manipulation, R Programming, Business Analysis, Analytics, Data Cleansing, Exploratory Data Analysis, Data Visualization, Data Analysis, Statistical Programming, Data-Driven Decision-Making
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
283 reviews
Beginner · Course · 1 - 4 Weeks
Johns Hopkins University
The R Programming Environment
Skills you'll gain: Tidyverse (R Package), Web Scraping, Data Manipulation, R Programming, Data Cleansing, Data Science, Big Data, Statistical Programming, Text Mining, Data Import/Export, Programming Principles, Data Structures, Performance Tuning, Application Programming Interface (API)
4.3
Rating, 4.3 out of 5 stars
1.2K reviews
Intermediate · Course · 1 - 3 Months
University of Colorado Boulder
Introduction to R Programming and Tidyverse
Skills you'll gain: Rmarkdown, Ggplot2, Tidyverse (R Package), Statistical Visualization, R Programming, Data Visualization Software, Statistical Programming, Data Manipulation, Data Analysis, Data Transformation, Software Installation, Development Environment
4.2
Rating, 4.2 out of 5 stars
45 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Logistic Regression in R for Public Health
Skills you'll gain: Descriptive Statistics, Exploratory Data Analysis, Regression Analysis, Data Analysis, R Programming, Statistical Modeling, Predictive Modeling, Statistical Analysis, Biostatistics, Data Manipulation, Statistical Hypothesis Testing
4.8
Rating, 4.8 out of 5 stars
363 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
Data Science: Statistics and Machine Learning
Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Statistical Machine Learning, Feature Engineering, Statistical Analysis, Statistical Modeling, Probability, Correlation Analysis, Data Science, Data Analysis
4.4
Rating, 4.4 out of 5 stars
7.2K reviews
Intermediate · Specialization · 3 - 6 Months
Johns Hopkins University
Neuroscience and Neuroimaging
Skills you'll gain: Anatomy, Radiology, Image Analysis, Data Analysis, Analysis, Data Manipulation, Analytical Skills, Experimentation, Research Design, R Programming, Statistical Analysis, Psychology, Network Analysis, Data Processing, Regression Analysis, Scientific Visualization, Science and Research, Scientific Methods, Qualitative Research, Medical Science and Research
4.7
Rating, 4.7 out of 5 stars
3.2K reviews
Intermediate · Specialization · 3 - 6 Months