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

Kennesaw State University
Six Sigma Principles
Skills you'll gain: Six Sigma Methodology, Lean Methodologies, Quality Improvement, Process Improvement, Quality Management, Team Management, Team Building, Lean Manufacturing, Continuous Improvement Process, Production Process
4.7
Rating, 4.7 out of 5 stars
106 reviews
Beginner · Course · 1 - 4 Weeks
Duke University
Pointers, Arrays, and Recursion
Skills you'll gain: C (Programming Language), Data Structures, Program Development, Algorithms, Computational Thinking, Computer Programming
4.3
Rating, 4.3 out of 5 stars
343 reviews
Beginner · Course · 1 - 3 Months
Johns Hopkins University
Precalculus: Relations and Functions
Skills you'll gain: Graphing, Data Analysis, R Programming, Mathematical Modeling, Analytical Skills, Algebra, Applied Mathematics
4.7
Rating, 4.7 out of 5 stars
211 reviews
Beginner · Course · 1 - 4 Weeks
University of California, Santa Cruz
C++ For C Programmers, Part B
Skills you'll gain: C++ (Programming Language), Object Oriented Design, Software Design Patterns, Object Oriented Programming (OOP), Software Design, Programming Principles, Computer Programming, C (Programming Language), Debugging, Algorithms, Graph Theory, Artificial Intelligence, Data Structures, Computer Science
4.5
Rating, 4.5 out of 5 stars
326 reviews
Intermediate · Course · 1 - 3 Months
University of Houston
Powerful Tools for Teaching and Learning: Web 2.0 Tools
Skills you'll gain: Education and Training, Instructional Strategies, Teaching, Innovation, Technology Strategies, Technology Solutions, Web Applications, Solution Design, Digital Communications
4.6
Rating, 4.6 out of 5 stars
182 reviews
Beginner · Course · 1 - 3 Months
University of Michigan
C Programming for Everybody
Skills you'll gain: C (Programming Language), C++ (Programming Language), Object Oriented Programming (OOP), Data Structures, Programming Principles, Secure Coding, Algorithms, Computer Programming, Software Design, Application Security, System Programming, Python Programming, Maintainability, Java, Performance Tuning, Numerical Analysis, Unix, Computer Science, Computer Programming Tools, Debugging
4.5
Rating, 4.5 out of 5 stars
132 reviews
Intermediate · Specialization · 3 - 6 Months
University of Maryland, College Park
Dealing With Missing Data
Skills you'll gain: Sampling (Statistics), Statistical Programming, Data Cleansing, Statistical Software, Data Transformation, Data Quality, Statistical Analysis, Statistical Methods, R Programming, Regression Analysis, Data Analysis
3.8
Rating, 3.8 out of 5 stars
134 reviews
Mixed · Course · 1 - 3 Months
Illinois Tech
Linear Regression
Skills you'll gain: Statistical Inference, Regression Analysis, R Programming, Statistical Analysis, Statistical Modeling, Data Analysis, Probability & Statistics, Linear Algebra, Data Manipulation
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
16 reviews
Intermediate · Course · 1 - 4 Weeks
University of Colorado Boulder
Statistics and Applied Data Analysis
Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistical Visualization, Data Transformation, Data Cleansing, Statistical Analysis, Regression Analysis, Statistical Programming, Probability, Probability Distribution, Sampling (Statistics), Box Plots, Histogram, R Programming, Statistical Methods, Scatter Plots, Microsoft Excel, Probability & Statistics, Statistics, Data Import/Export
4.7
Rating, 4.7 out of 5 stars
29 reviews
Beginner · Specialization · 3 - 6 Months
EDUCBA
Embedded Software Development with C
Skills you'll gain: Embedded Software, C (Programming Language), Embedded Systems, Debugging, Peripheral Devices, Integrated Development Environments, Computer Programming Tools, Development Environment, System Programming, Program Development, Hardware Architecture, Systems Architecture, Data Structures, Microarchitecture, Programming Principles, Performance Tuning, Computer Architecture, C++ (Programming Language), Data Storage, Computer Programming
4.4
Rating, 4.4 out of 5 stars
105 reviews
Intermediate · Specialization · 3 - 6 Months
University of Michigan
Data Science for Health Research
Skills you'll gain: Exploratory Data Analysis, Rmarkdown, Statistical Modeling, Tidyverse (R Package), Statistical Visualization, Data Visualization Software, R Programming, Regression Analysis, Statistical Methods, Ggplot2, Data Wrangling, Statistical Inference, Probability & Statistics, Scatter Plots, Data Manipulation, Predictive Analytics, Predictive Modeling, Correlation Analysis, Histogram, Classification And Regression Tree (CART)
5
Rating, 5 out of 5 stars
9 reviews
Intermediate · Specialization · 1 - 3 Months
Duke University
Data Science Ethics with R
Skills you'll gain: Data Ethics, Data Integrity, Data Collection, Data Presentation, Research, Data Science, Data Visualization Software, Analytical Skills, Algorithms
Beginner · Course · 1 - 4 Weeks