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.

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Explore the R Course Catalog

Coursera Project Network
Introduction to R: Basic R syntax
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Statistical Programming, Development Environment, Programming Principles
4.5
Rating, 4.5 out of 5 stars
44 reviews
Beginner · Guided Project · Less Than 2 Hours
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Exploratory Data Analysis, Statistical Hypothesis Testing, Ggplot2, Data Visualization, Statistical Programming, Descriptive Statistics, Data Manipulation, Statistical Methods, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Statistical Modeling, Data Import/Export
Intermediate · Course · 1 - 3 Months
Johns Hopkins University
Advanced R Programming
Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Data Analysis Software, Programming Principles, Data Structures, Computational Thinking, Software Development, Performance Tuning
4.2
Rating, 4.2 out of 5 stars
574 reviews
Intermediate · Course · 1 - 3 Months
University of Michigan
Fundamentals of Data Analytics in the Public Sector with R
Skills you'll gain: Data Visualization, Survey Creation, Tidyverse (R Package), Data Analysis, Statistical Analysis, Demography, Public Administration, Policy Analysis, Public Policies, R Programming, Sampling (Statistics), Data Manipulation
4.7
Rating, 4.7 out of 5 stars
36 reviews
Intermediate · Course · 1 - 3 Months
Status: Free
Coursera Project Network
Forecast bikeshare demand using time series models in R
Skills you'll gain: R Programming, Statistical Programming, Time Series Analysis and Forecasting, Data Visualization Software, Tidyverse (R Package), Data-Driven Decision-Making, Rmarkdown, Data Processing, Data Analysis, Predictive Modeling, Data Cleansing, Data Manipulation, Forecasting, Business Strategy, Demand Planning
5
Rating, 5 out of 5 stars
6 reviews
Intermediate · Guided Project · Less Than 2 Hours
Codio
Data Analysis in R with RStudio & Tidyverse
Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Correlation Analysis, Tidyverse (R Package), Data Analysis, Regression Analysis, Probability & Statistics, Data Import/Export, Statistical Analysis, R Programming, Exploratory Data Analysis, Data Wrangling, Data Manipulation
4.3
Rating, 4.3 out of 5 stars
18 reviews
Beginner · Course · 1 - 3 Months
Coursera Project Network
Using Descriptive Statistics to Analyze Data in R
Skills you'll gain: Descriptive Statistics, R Programming, Statistical Reporting, Data Quality, Data Cleansing, Data Processing, Statistical Methods, Data Manipulation, Data Analysis Software, Data Import/Export
4.6
Rating, 4.6 out of 5 stars
91 reviews
Beginner · Guided Project · Less Than 2 Hours
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
4.1
Rating, 4.1 out of 5 stars
11 reviews
Intermediate · Guided Project · Less Than 2 Hours
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, R Programming, Statistical Analysis, Plot (Graphics), Predictive Modeling
4.7
Rating, 4.7 out of 5 stars
17 reviews
Beginner · Guided Project · Less Than 2 Hours
Status: Free
Coursera Project Network
Automate R scripts with GitHub Actions: Deploy a model
Skills you'll gain: Analytics, R Programming, Scripting, Google Sheets, Applied Machine Learning, MLOps (Machine Learning Operations), CI/CD, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail
Intermediate · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Manipulation with dplyr in R
Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Analysis, R Programming, Exploratory Data Analysis, Data Transformation
4.6
Rating, 4.6 out of 5 stars
21 reviews
Beginner · Guided Project · Less Than 2 Hours
Coursera Project Network
Data Visualization using dplyr and ggplot2 in R
Skills you'll gain: Ggplot2, Plot (Graphics), Tidyverse (R Package), Data Analysis, Exploratory Data Analysis, R Programming, Data Visualization Software, Data Wrangling, Data Manipulation
4.9
Rating, 4.9 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular r courses

Introduction to R: Basic R syntax: Coursera Project Network
R Programming for Statistics and Data Science: Packt
Advanced R Programming: Johns Hopkins University
Fundamentals of Data Analytics in the Public Sector with R: University of Michigan
Forecast bikeshare demand using time series models in R: Coursera Project Network
Data Analysis in R with RStudio & Tidyverse: Codio
Using Descriptive Statistics to Analyze Data in R: Coursera Project Network
Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
Building Statistical Models in R: Linear Regression: Coursera Project Network
Automate R scripts with GitHub Actions: Deploy a model: Coursera Project Network

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