Get in Touch

Course Outline

Writing Cleaner and More Reusable R Code

  • Assessing factors that contribute to scalable, readable, and maintainable R code
  • Developing reusable functions with defined inputs, outputs, and default values
  • Minimizing repetition through improved function design and script structure

Practical Data Transformation Workflows

  • Constructing clear analysis pipelines using tidyverse tools
  • Managing grouped summaries, joins, and data reshaping operations
  • Organizing data preparation steps to ensure repeatable analysis

Functional Programming for Repeated Tasks

  • Leveraging iteration tools as alternatives to repetitive loops
  • Implementing map-style workflows using purrr
  • Safely managing errors and missing values within repeated tasks

Debugging and Improving Performance

  • Identifying and resolving common coding errors in scripts and functions
  • Applying practical debugging techniques in R and RStudio
  • Profiling slow code and implementing targeted performance optimizations

Reproducible Reporting and Communication

  • Generating reproducible reports using R Markdown
  • Refining visual output with ggplot2 for clearer communication
  • Preparing analysis results for sharing with business or research stakeholders

Applied Workshop and Next Steps

  • Integrating functions, data workflows, debugging, and reporting in practical exercises
  • Reviewing key techniques and common patterns for daily R usage
  • Identifying strategies for ongoing improvement in R programming

Requirements

  • A strong grasp of core R syntax, data types, vectors, and data frames
  • Experience in writing R scripts and utilizing RStudio
  • Intermediate R programming skills, including basic data manipulation and plotting

Target Audience

  • Data analysts seeking to write more efficient, reusable, and maintainable R code
  • Data scientists requiring robust workflows for analysis, reporting, and collaboration
  • Researchers and technical professionals using R for practical data tasks
 14 Hours

Number of participants


Price per participant

Testimonials (1)

Upcoming Courses

Related Categories