Domain-Specific Languages (DSL) Courses and Certifications

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• Self-Paced
• Paid Course

Hierarchical and Structured Data Formats in R

Dive into JSON, XML, and scientific data storage formats in R, learning to parse, construct, and manage complex structured datasets essential for data-driven applications.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Career Certificate

Statistical Analysis with R for Public Health

2081 ratings at Coursera

Learn statistical analysis with R for public health applications. Covers key concepts, data analysis techniques, and hands-on practice using real-world health datasets to address major public health challenges.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Data Visualization & Dashboarding with R

451 ratings at Coursera

Develop expertise in creating static and interactive data visualizations using R, from basic plots to advanced techniques, and learn to publish them on the web for various audiences.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Introduction to R (Live Online)

2637 ratings at CourseHorse

Master data wrangling fundamentals in R to transform, analyze, and visualize datasets for business insights. Learn essential syntax, manipulation techniques, and SQL-like queries for solving real-world data problems.

• CourseHorse
• 3 hours
• Self-Paced
• $75.00

CS50's Introduction to Programming with R

2 ratings

An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.

• edX
• 7 weeks, 6-12 hours/week
• Self-Paced
• Free Online Course (Audit)

Introducción a R

18 ratings

Aprende a analizar datos con R: desde instalación hasta visualización y programación. Domina herramientas esenciales para tomar decisiones basadas en datos en tu organización.

• edX
• 4 weeks, 5-8 hours/week
• Self-Paced
• Free Online Course (Audit)

R Programming Fundamentals

55 ratings at edX

Learn R programming essentials, from installation to basic statistical functions. Develop skills in data manipulation, function writing, and gain insights from R co-creator Robert Gentleman.

• edX
• 6 weeks, 2-3 hours/week
• Self-Paced
• Free Online Course (Audit)

Getting Started with Data Visualization in R

309 ratings at Coursera

Learn to create impactful data visualizations using R and tidyverse. Import data, manipulate it effectively, and produce simple reports with R Markdown. Ideal for beginners seeking practical skills in data visualization.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Data Visualization in R with ggplot2

132 ratings at Coursera

Learn to create and refine powerful data visualizations using ggplot2 in R. Master the grammar of graphics, explore various plot types, and enhance your plots with advanced graphical elements.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Career Certificate

Tidyverse Skills for Data Science in R

110 ratings at Coursera

Master data science with R's Tidyverse: import, wrangle, visualize, and model data using powerful and scalable tools. Gain practical skills for the entire data science project lifecycle.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Advanced Data Visualization with R

81 ratings at Coursera

Expand your R data visualization skills with advanced ggplot2 techniques, spatial data mapping, and interactive/animated figures using Plotly and gganimate. Master cutting-edge visualization methods for impactful data presentation.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course

Publishing Visualizations in R with Shiny and flexdashboard

72 ratings at Coursera

Learn to create interactive visualizations and dashboards using R, Shiny, and flexdashboard. Develop skills in customizing layouts and combining different types of figures for effective data presentation.

• Coursera
• 11 hours 32 minutes
• Self-Paced
• Paid Course

Introduction to the Tidyverse

54 ratings at Coursera

Learn to manipulate, visualize, and analyze data efficiently using the Tidyverse ecosystem of R packages. Master tidy data principles and streamline your data science workflow.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Importing Data in the Tidyverse

51 ratings at Coursera

Learn to import and harmonize data from various formats using Tidyverse tools in R. Master techniques for handling delimited files, spreadsheets, databases, web scraping, and APIs to prepare data for analysis and visualization.

• Coursera
• 15 hours
• Self-Paced
• Paid Course