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Duration 14 hours
Course Outline
Writing Cleaner and More Reusable R Code
- Examining the principles behind scalable, readable, and maintainable R code
- Constructing reusable functions with clearly defined inputs, outputs, and defaults
- Minimizing repetition through improved function design and script organization
Practical Data Transformation Workflows
- Constructing clear analysis pipelines using tidyverse tools
- Handling grouped summaries, joins, and data reshaping
- Organizing data preparation steps to ensure repeatable analysis
Functional Programming for Repetitive Tasks
- Utilizing iteration tools as an alternative to repetitive loops
- Implementing map-style workflows with purrr
- Safely managing errors and missing values in iterative tasks
Debugging and Performance Improvement
- Identifying and resolving common coding errors in scripts and functions
- Applying practical debugging techniques within R and RStudio
- Benchmarking slow code and implementing targeted performance enhancements
Reproducible Reporting and Communication
- Generating reproducible reports with 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 a practical exercise
- Reviewing key techniques and common patterns for daily R work
- Identifying next steps for ongoing R programming improvement
Requirements
- A solid grasp of core R syntax, data types, vectors, and data frames
- Experience writing R scripts and working within RStudio
- Intermediate R programming experience, including basic data manipulation and plotting
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 utilizing R for practical data tasks
Testimonials (1)
The flexible and friendly style. Learning exactly what was useful and relevant for me.
