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
National Taiwan University
Operations Research (1): Models and Applications
Skills you'll gain: Operations Research, Mathematical Modeling, Process Optimization, Applied Mathematics, Business Modeling, Industrial Engineering, Operations Management, Inventory Control, Resource Allocation, Business Analytics, Production Planning, Microsoft Excel, Scheduling, Linear Algebra, Decision Making, Portfolio Management, Complex Problem Solving
4.8
Rating, 4.8 out of 5 stars
514 reviews
Beginner · Course · 1 - 3 Months
Duke University
Inferential Statistics
Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, Statistical Methods, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation
4.8
Rating, 4.8 out of 5 stars
2.7K reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Advanced Statistics for Data Science
Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Regression Analysis, Bayesian Statistics, Statistical Analysis, Probability & Statistics, Statistical Inference, Statistical Methods, Statistical Modeling, Linear Algebra, Probability, R Programming, Biostatistics, Data Analysis, Data Science, Probability Distribution, Mathematical Modeling, Data Modeling, Applied Mathematics, Predictive Modeling
4.4
Rating, 4.4 out of 5 stars
750 reviews
Advanced · Specialization · 3 - 6 Months
Johns Hopkins University
Exploratory Data Analysis
Skills you'll gain: Computer Graphic Techniques, Computer Graphics, Data Analysis, Data Visualization, Exploratory Data Analysis, Interactive Data Visualization, Plot (Graphics), R Programming, Statistical Programming, Visualization (Computer Graphics)
4.7
Rating, 4.7 out of 5 stars
6.1K reviews
Mixed · Course · 1 - 4 Weeks
Duke University
Linear Regression and Modeling
Skills you'll gain: Regression Analysis, Statistical Software, Statistical Analysis, R Programming, Statistical Modeling, Statistical Inference, Data Analysis, Statistical Methods, Exploratory Data Analysis, Predictive Modeling
4.8
Rating, 4.8 out of 5 stars
1.7K reviews
Beginner · Course · 1 - 4 Weeks
University of California, Santa Cruz
Bayesian Statistics: Techniques and Models
Skills you'll gain: Probability & Statistics, Bayesian Statistics, Probability Distribution, R Programming, Statistical Programming, Regression, General Statistics, Machine Learning
4.8
Rating, 4.8 out of 5 stars
486 reviews
Intermediate · Course · 1 - 3 Months
ESSEC Business School
Foundations of strategic business analytics
Skills you'll gain: Business Analysis, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Statistical Analysis, R Programming
4.4
Rating, 4.4 out of 5 stars
654 reviews
Mixed · Course · 1 - 3 Months
ESSEC Business School
Strategic Business Analytics
Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Statistical Methods, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Advanced Analytics, Statistical Analysis, Communication, Market Research, Complex Problem Solving, Analytics, Business Analysis, Data Analysis, Data Storytelling
4.4
Rating, 4.4 out of 5 stars
1.3K reviews
Advanced · Specialization · 3 - 6 Months
Johns Hopkins University
Developing Data Products
Skills you'll gain: Shiny (R Package), Rmarkdown, Leaflet (Software), Plotly, Interactive Data Visualization, Data Visualization, Data Presentation, Data Visualization Software, R Programming, Statistical Reporting, UI Components, Web Applications, Hypertext Markup Language (HTML), GitHub, Package and Software Management
4.6
Rating, 4.6 out of 5 stars
2.3K reviews
Mixed · Course · 1 - 3 Months
Duke University
Bayesian Statistics
Skills you'll gain: Bayesian Statistics, General Statistics, Probability & Statistics, Statistical Analysis, Probability Distribution, Bayesian Network, R Programming, Statistical Programming, Statistical Tests
3.8
Rating, 3.8 out of 5 stars
794 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Intro to AR/VR/MR/XR: Technologies, Applications & Issues
Skills you'll gain: Augmented and Virtual Reality (AR/VR), Augmented Reality, Virtual Reality, Emerging Technologies, Virtual Environment, Display Devices, Human Computer Interaction, Data Ethics, Information Privacy, Conceptual Design, Diversity Equity and Inclusion Initiatives, Technology Strategies, Innovation, Personally Identifiable Information, Safety and Security
4.7
Rating, 4.7 out of 5 stars
376 reviews
Beginner · Course · 1 - 4 Weeks
Imperial College London
Introduction to Statistics & Data Analysis in Public Health
Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Quantitative Research, Probability & Statistics, R Programming, Statistics, Descriptive Statistics, Probability Distribution, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
1.5K reviews
Beginner · Course · 1 - 4 Weeks