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Course Outline
Writing Cleaner and More Reusable R Code
- Reviewing the elements that make R code scalable, readable, and maintainable.
- Creating reusable functions with clear inputs, outputs, and default values.
- Minimizing repetition through improved function design and script organization.
Practical Data Transformation Workflows
- Building clear analysis pipelines using tidyverse tools.
- Working with grouped summaries, joins, and data reshaping.
- Structuring data preparation steps to ensure repeatable analysis.
Functional Programming for Repeated Tasks
- Utilizing iteration tools as an alternative to repetitive loops.
- Applying map-style workflows with purrr.
- Safely handling errors and missing values in repeated tasks.
Debugging and Improving Performance
- Identifying and fixing common coding errors in scripts and functions.
- Applying practical debugging techniques in R and RStudio.
- Benchmarking slow code and implementing targeted performance improvements.
Reproducible Reporting and Communication
- Creating 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
- Combining functions, data workflows, debugging, and reporting in a practical exercise.
- Reviewing key techniques and common patterns for daily R work.
- Identifying next steps for continued improvement in R programming.
Requirements
- A solid understanding of core R syntax, data types, vectors, and data frames.
- Experience writing R scripts and working within RStudio.
- Intermediate R programming skills, including basic data manipulation and plotting.
Audience
- Data analysts seeking to write more efficient, reusable, and maintainable R code.
- Data scientists requiring stronger workflows for analysis, reporting, and collaboration.
- Researchers and technical professionals utilizing R for practical data work.
14 Hours
Testimonials (1)
The flexible and friendly style. Learning exactly what was useful and relevant for me.
