R Markdown Courses and Certifications

The Data Scientist’s Toolbox

166 reviews

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Trial Available

Developing Data Products

17 reviews

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
• On-Demand
• Paid Course

Codio Microcredential

Data Science and Analysis Tools - from Jupyter to R Markdown

Master data analysis fundamentals using Python and R, from data wrangling to visualization techniques. No prior programming experience needed - start analyzing and communicating insights through RStudio, Tidyverse, and Jupyter.

• Coursera
• On-Demand
• Paid Course
• 4 courses

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
• On-Demand
• 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
• On-Demand
• Free Video

Codio Microcredential

Data Science and Analysis Tools - from Jupyter to R Markdown

25 ratings at Coursera

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
• On-Demand
• 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 a week
• On-Demand
• Free Online Course (Audit)

Getting Started with Data Visualization in R

306 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
• On-Demand
• 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
• On-Demand
• Paid Course

Reproducible Templates for Analysis and Dissemination

20 ratings at Coursera

Learn to create reproducible research documents using R Markdown, from basic syntax to custom templates for scientific journals. Develop skills in documentation, version control, and collaborative workflows for efficient data analysis and dissemination.

• Coursera
• 19 hours 48 minutes
• On-Demand
• Paid Course

Codio

Visualizing Data & Communicating Results in R with RStudio

Learn to create diverse data visualizations and communicate results effectively using R and RStudio, covering bar charts, histograms, heat maps, and R Markdown for clear data presentation.

• Coursera
• 9 hours 38 minutes
• On-Demand
• Paid Course

GOTO Conferences

Interoperability between R and Other Languages

Explore techniques for integrating R with other programming languages, leveraging R's statistical libraries while developing in preferred environments. Learn about various interoperability options and tools.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

Análisis de datos con programación en R

637 ratings at Coursera

Aprende a programar en R para análisis de datos: desde conceptos básicos hasta visualizaciones avanzadas y generación de informes dinámicos con RStudio y paquetes como Tidyverse.

• Coursera
• 1 day 13 hours 38 minutes
• On-Demand
• Paid Course