Get in Touch

Course Outline

Introduction to R Markdown

  • Defining R Markdown and its practical applications
  • Setting up and configuring R Markdown within RStudio
  • Understanding the fundamental structure of R Markdown documents

Managing Code Chunks

  • Building and tailoring code chunks
  • Regulating output and chunk behavior parameters
  • Incorporating plots, tables, and inline R code

Formatting Text and Markdown Syntax

  • Applying headings, lists, hyperlinks, and text emphasis
  • Integrating tables and images
  • Utilizing LaTeX for mathematical notation

Output Formats and Rendering Processes

  • Rendering content to HTML, PDF, and Word formats
  • Controlling output settings via YAML headers
  • 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 Visual Styling

  • Applying themes and templates
  • Designing custom styles using CSS and LaTeX
  • Including title pages, tables of contents, and cross-references

Publishing and Collaborative Workflows

  • Distributing R Markdown documents to Rpubs, GitHub, or personal websites
  • Collaborating on documents and managing version control
  • Adhering to best practices for reproducible reporting

Summary and Recommended Next Steps

Requirements

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

Target Audience

  • Data analysts and data scientists
  • Researchers and academic professionals
  • Specialists in report writing and documentation who utilize R
 14 Hours

Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793

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

Related Courses

Advanced R

 14 Hours

This instructor-led, live training in Botswana (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
Investigate the core principles of programming Big Data solutions in R, a language highly valued in the financial sector. This course in Botswana delves into environment configuration, utilizing MPI for parallel processing, and handling distributed matrices. You will gain the skills to manage extensive datasets, execute distributed regression models, and implement Monte Carlo techniques with high efficiency.
Read more...

Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for 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 Botswana establishes essential data analytics capabilities utilizing Excel, VBA, and R. Learners will master data manipulation, visualization, and machine learning methods to predict trends, streamline processes, and drive evidence-based business outcomes.
Read more...

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

 21 Hours

This instructor-led, live training in Botswana (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make 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 three-day practical course in Botswana explores the fundamentals of R, including data preparation and visualization through packages such as ggplot2. Participants will examine statistical modeling, regression, and machine learning methods—including clustering and classification—by working with real-world data.
Read more...

Forecasting with R

 14 Hours

This instructor-led, live training in Botswana (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 Botswana (online or onsite) is designed for data scientists who wish to programme in Python and R for KNIME.

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

  • Plan, construct, and deploy machine learning models using KNIME.
  • Make data-driven decisions to optimise operations.
  • Execute end-to-end data science projects.
Read more...

Shiny App Web Development with R

 14 Hours
This instructor-led Shiny training in Botswana equips intermediate R users with the skills to build interactive web apps without requiring JavaScript. Participants will learn to design reactive UIs, integrate data visualizations, and deploy applications effectively. Acquire hands-on expertise in creating dynamic dashboards and reports with efficiency.
Read more...

Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

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

  • Effectively use Stata for data analysis and statistical modeling.
  • Compare Stata’s functionalities with SPSS and R.
  • Integrate Stata with R for seamless statistical computing.
  • Develop and automate workflows using Stata and R.
Read more...

Statistical Analysis with Stata and R

 35 Hours

This instructor-led, live training (available online or onsite) targets data analysts who wish to utilise Stata and R to analyse big data for statistical purposes.

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

  • Develop statistical models to predict key variables of interest and specific events.
  • Produce descriptive visualisations, summary tables, frequency distributions, and additional outputs.
  • Manage and structure extensive databases to ensure readiness for data analysis.
Read more...

Data Science with Tableau and R Programming

 14 Hours

Upon completing this training, participants will have acquired the following skills:

This live, instructor-led training in Botswana (online or onsite) is designed for data scientists who wish to programme in R for use with Tableau.

  • Integrate Tableau analytics with R.
  • Pass results back to Tableau using R learning algorithms.
  • Organise and visualise R functions within Tableau.
  • Make evidence-based decisions to support business operations.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led live training in Botswana (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
Read more...

Building Web Applications in R with Shiny

 7 Hours
This course in Botswana empowers R users to construct web applications via Shiny, eliminating the requirement for extensive HTML or CSS expertise. It addresses core principles, UI customization, advanced reactive capabilities, and data sharing, offering practical insights for building dynamic and interactive data applications.
Read more...

Related Categories

R Language
R Language