Get in Touch

Course Outline

Introduction to R Markdown

  • Overview of R Markdown and its benefits
  • Setup: Installing and configuring R Markdown within RStudio
  • Anatomy of an R Markdown document

Managing Code Chunks

  • Creation and customization of code chunks
  • Regulating output display and chunk execution behavior
  • Incorporating plots, tables, and inline R code

Text Formatting and Markdown Syntax

  • Structuring content with headings, lists, links, and emphasis
  • Integrating tables and images
  • Applying mathematical notation via LaTeX

Output Formats and Rendering

  • Generating HTML, PDF, and Word documents
  • Utilizing YAML headers to manage output parameters
  • Navigating the knitting process and resolving common errors

Advanced Document Capabilities

  • Implementing parameterized reports
  • Developing conditional content and interactive documents
  • Reusing content through child documents

Customization and Styling

  • Applying pre-defined themes and templates
  • Designing custom styles with CSS and LaTeX
  • Enhancing structure with title pages, table of contents, and cross-references

Publishing and Collaboration

  • Distributing R Markdown documents via Rpubs, GitHub, or custom websites
  • Collaborating on documents using version control systems
  • Adopting best practices for reproducible reporting

Wrap-Up and Future Directions

Requirements

  • Proficiency in basic R syntax and core functions
  • Comfort with the RStudio development environment
  • Foundational knowledge of data analysis workflows

Target Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Report writers and documentation specialists utilizing R
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada
Course - Data Analytics With R

Upcoming Courses

R Markdown for Dynamic Documents and Reproducible Reporting

2026-10-19 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-02 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-16 10:00
14 hours
Seoul - Gran Seoul
₩ 5000000 (Online)
₩ 10000000 (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-11-30 10:00
14 hours
Seoul Center 1
₩ 5000000 (Online)
₩ 10000000 (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-12-14 10:00
14 hours
Jungang-Dong Center
₩ 5000000 (Online)
₩ 10000000 (Classroom)

Related Courses

Advanced R

 14 Hours

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

Read more...

Programming with Big Data in R

 21 Hours
Discover the core concepts of programming with Big Data using R, a language highly regarded in the finance industry. This course in South Korea guides you through environment configuration, MPI for parallel processing, and distributed matrices. You will learn to manage large datasets, execute distributed regression, and efficiently apply Monte Carlo methods.
Read more...

Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led, live training in South Korea (online or onsite) targets beginner-level data analysts who intend to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations to gain insights.

By the end of this training, participants will be able to:

  • Understand the basics of R Programming.
  • Apply fundamental data science processes.
  • Create visual representations of data.
Read more...

Data and Analytics - from the ground up

42 Hours
This hands-on course in South Korea establishes essential data analytics capabilities by leveraging Excel, VBA, and R. Learners will acquire skills in data manipulation, visualization, and machine learning to predict trends, enhance process efficiency, and drive informed, evidence-based business strategies.
Read more...

Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led live training in South Korea (online or onsite) targets beginner-level professionals seeking to clean and analyze data, perform statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

  • Understand the basics of Python, R, Power Query, and Power BI for data analysis.
  • Clean and organize datasets using Python and Power Query.
  • Perform statistical analysis and projections with R.
  • Create professional dashboards and reports with Power BI.
  • Integrate and analyze data from multiple sources effectively.
Read more...

Data Analytics With R

 21 Hours
This hands-on course in South Korea focuses on R fundamentals, data preparation, and visualization using packages such as ggplot2. Over the course of three days, participants will delve into statistical modeling, regression analysis, and machine learning techniques, including clustering and classification, applied to real-world data.
Read more...

Forecasting with R

 14 Hours

This instructor-led, live training in South Korea (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.

By the end of this training, participants will be able to:

  • Understand the fundamentals of forecasting techniques in R.
  • Apply exponential smoothing and ARIMA models for time series analysis.
  • Utilize the ‘forecast’ package to generate accurate forecasting models.
  • Automate forecasting workflows for business and research applications.
Read more...

KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led, live training in South Korea (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

By the end of this training, participants will be able to:

  • Plan, build, and deploy machine learning models in KNIME.
  • Make data-driven decisions for operations.
  • Implement end-to-end data science projects.
Read more...

Shiny App Web Development with R

 14 Hours
This instructor-led Shiny training in South Korea equips intermediate R users with the skills to build interactive web apps without JavaScript. Participants will learn to design reactive UIs, integrate data visualizations, and deploy applications, gaining practical proficiency in creating dynamic dashboards and reports efficiently.
Read more...

Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate to advanced-level computer science professionals seeking to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

  • Effectively utilize Stata for data analysis and statistical modeling.
  • Compare the functionalities of Stata with those of SPSS and R.
  • Integrate Stata with R to facilitate seamless statistical computing.
  • Develop and automate workflows using both Stata and R.
Read more...

Statistical Analysis with Stata and R

 35 Hours

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

By the end of this training, participants will be able to:

  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to preapare for data analysis.
Read more...

Data Science with Tableau and R Programming

 14 Hours

Upon completing this training, participants will gain the ability to:

This instructor-led live training in South Korea (available online or onsite) is targeted at data scientists who wish to program R for Tableau.

  • Integrate R-based analytics into Tableau.
  • Return values to Tableau using R's machine learning algorithms.
  • Organize and visualize R functions using Tableau.
  • Drive business operational decisions through data analysis.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led, live training in South Korea (online or onsite) is designed for data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

Upon completion of this training, participants will be equipped to:

  • Conduct data analysis utilizing Python, R, and SQL.
  • Derive actionable insights through data visualization with Tableau.
  • Facilitate data-driven decision-making for business operations.
Read more...

Building Web Applications in R with Shiny

 7 Hours
This course in South Korea guides R users in building web applications with Shiny, eliminating the requirement for extensive HTML or CSS expertise. It addresses core concepts, UI customization, advanced reactive capabilities, and data sharing, offering practical insights for developing dynamic and interactive data applications.
Read more...

Related Categories

R Language
R Language