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
Genomic Data Science
Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Science and Research, Statistical Modeling, Data Structures, Data Analysis, R Programming, Computational Thinking, Statistical Programming, Jupyter
4.5
Rating, 4.5 out of 5 stars
6.6K 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
Johns Hopkins University
Tidyverse Skills for Data Science in R
Skills you'll gain: Tidyverse (R Package), Ggplot2, Data Wrangling, Statistical Modeling, Exploratory Data Analysis, Plot (Graphics), R Programming, Data Import/Export, Predictive Modeling, Data Visualization, Statistical Visualization, Data Visualization Software, Statistical Hypothesis Testing, Data Analysis, Data Manipulation, Data Modeling, Web Scraping, Data Integration, Data Cleansing, Data Transformation
4.5
Rating, 4.5 out of 5 stars
103 reviews
Beginner · Specialization · 3 - 6 Months
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
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
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
Status: Free
University of Pennsylvania
Vital Signs: Understanding What the Body Is Telling Us
Skills you'll gain: Vital Signs, Respiration, Health Assessment, Anatomy, Health Care, Patient Treatment
4.8
Rating, 4.8 out of 5 stars
6.7K reviews
Mixed · Course · 1 - 3 Months
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 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
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
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
Imperial College London
Survival Analysis in R for Public Health
Skills you'll gain: Statistical Analysis, R Programming, Statistical Methods, Data Wrangling, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Modeling, Descriptive Statistics
4.5
Rating, 4.5 out of 5 stars
322 reviews
Intermediate · Course · 1 - 4 Weeks