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
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
Packt
R Programming for Statistics and Data Science
Skills you'll gain: R Programming, Exploratory Data Analysis, Ggplot2, Data Visualization, Statistical Programming, Descriptive Statistics, Data Manipulation, Data Science, Tidyverse (R Package), Data Structures, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Inference, Probability & Statistics, Statistical Modeling, Data Transformation, Software Installation
Intermediate · Course · 1 - 3 Months
Codio
Data Science and Analysis Tools - from Jupyter to R Markdown
Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Dashboard, Tidyverse (R Package), Interactive Data Visualization, Data Analysis, Data Import/Export, Data Visualization
3.9
Rating, 3.9 out of 5 stars
22 reviews
Beginner · Specialization · 3 - 6 Months
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
Coursera Project Network
Build and deploy a stroke prediction model using R
Skills you'll gain: Feature Engineering, Predictive Modeling, R Programming, Data Analysis, Classification And Regression Tree (CART), Statistical Analysis, Data Cleansing, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Processing, Application Deployment, Machine Learning
4.4
Rating, 4.4 out of 5 stars
17 reviews
Intermediate · Guided Project · Less Than 2 Hours
Johns Hopkins University
Advanced Data Visualization with R
Skills you'll gain: Rmarkdown, Tidyverse (R Package), Ggplot2, Spatial Data Analysis, Data Visualization Software, Statistical Visualization, Geospatial Information and Technology, Data Manipulation, Scatter Plots, Plotly, Interactive Data Visualization, R Programming, Data Mapping
4.9
Rating, 4.9 out of 5 stars
79 reviews
Mixed · Course · 1 - 4 Weeks
Johns Hopkins University
Data Visualization in R with ggplot2
Skills you'll gain: Ggplot2, Scatter Plots, Plot (Graphics), Data Visualization, Data Visualization Software, Heat Maps, R Programming, Graphing, Data Wrangling, Graphics Software
4.9
Rating, 4.9 out of 5 stars
127 reviews
Intermediate · 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
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, Statistical Methods, Data Import/Export, Statistical Analysis, R Programming, Exploratory Data Analysis, Data Wrangling
4.3
Rating, 4.3 out of 5 stars
19 reviews
Beginner · Course · 1 - 3 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
323 reviews
Intermediate · Course · 1 - 4 Weeks
Duke University
Financial Risk Management with R
Skills you'll gain: Financial Market, Risk Management, Market Data, Risk Analysis, Probability Distribution, Financial Data, R Programming, Portfolio Management, Financial Analysis, Time Series Analysis and Forecasting, Statistical Analysis, Statistical Modeling
Build toward a degree
4.3
Rating, 4.3 out of 5 stars
248 reviews
Intermediate · Course · 1 - 4 Weeks
Johns Hopkins University
The Data Scientist’s Toolbox
Skills you'll gain: Rmarkdown, Version Control, Data Science, General Science and Research, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation
4.6
Rating, 4.6 out of 5 stars
34K reviews
Mixed · Course · 1 - 4 Weeks

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

Calculating Descriptive Statistics in R: Coursera Project Network
R Programming for Statistics and Data Science: Packt
Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
Vital Signs: Understanding What the Body Is Telling Us: University of Pennsylvania
Build and deploy a stroke prediction model using R: Coursera Project Network
Advanced Data Visualization with R: Johns Hopkins University
Data Visualization in R with ggplot2: Johns Hopkins University
Logistic Regression in R for Public Health: Imperial College London
Data Analysis in R with RStudio & Tidyverse: Codio
Survival Analysis in R for Public Health: Imperial College London

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