R Markdown Courses and Certifications

The Data Scientist’s Toolbox

166 ratings

Introduction to key data science tools and concepts, covering R, RStudio, version control, and data analysis fundamentals for actionable insights.

• Coursera
• 17 hours 59 minutes
• Self-Paced
• Paid Course

Chemometrics & Machine Learning in Copenhagen

Introduction to R Markdown

Discover how to setup, render, and format R Markdown documents in R Studio through practical tutorials covering essential workflow steps.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Reporting with R Markdown

21 ratings at DataCamp

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Developing Data Products

17 ratings

Aprenda a criar produtos de dados interativos usando R, Shiny, e ferramentas de visualização. Desenvolva habilidades para contar histórias com dados e criar aplicações analíticas.

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

R Programming 101

Quarto: Creating Professional Data Analysis Documents in R Studio

Discover how Quarto enhances R programming by enabling professional document creation with integrated text, graphics, references, and data visualization capabilities.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Samuel Chan

Making a CV with R and RStudio: Professional and Semantic

Learn to create professional CVs using R and RStudio with the vitae package. Explore 6 templates and leverage markdown for customization in this efficient, programmer-friendly approach to resume building.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Developing R Packages

Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Codio

Data Science and Analysis Tools - from Jupyter to R Markdown

Comprehensive introduction to data science using Python and R, covering data wrangling, analysis, and visualization. Ideal for beginners seeking practical skills in handling diverse datasets and creating informative visualizations.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 4 courses

Data Science: Productivity Tools

40 ratings at edX

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

• edX
• 8 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Advanced Bioconductor

1 rating

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

• edX
• 4 weeks, 2-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Getting Started with Data Visualization in R

308 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

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

Arranging and Visualizing Data in R

Explore R for data manipulation and visualization, covering environment setup, data wrangling with tidyverse, creating publication-ready plots, and establishing efficient project workflows.

• Coursera
• 18 hours 48 minutes
• Self-Paced
• Paid Course

Data Science Methods for Quality Improvement

53 ratings at Coursera

Gain data analysis skills for quality improvement in business and industry. Learn RStudio, RMarkdown, and techniques to enhance performance, quality, and reliability across various sectors.

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