Introducing R as a smart version of calculators enables beginners to explore it on their own

Area of Science:

• Biosciences
• Bioinformatics
• Computational Biology

Background:

• Modern molecular biology generates vast, complex datasets.
• Many researchers lack essential data analysis and programming skills.
• Short training workshops are preferred for skill development.

Purpose of the Study:

• To address the challenge of teaching data analysis to bioscience researchers with no prior programming experience.
• To propose an effective pedagogical approach for short, intensive data analysis workshops.
• To lower the barrier to entry for learning programming languages like R for biological data analysis.

Main Methods:

• Developed analogies comparing R to a "smart calculator" to demystify programming.
• Designed and delivered four-hour in-person and virtual workshops.
• Incorporated participatory live coding sessions for hands-on learning.

Main Results:

• Anecdotal evidence indicates the "smart calculator" analogy effectively simplified R programming for beginners.
• Participants appeared more confident and motivated to explore R independently after the workshop.
• The workshop format facilitated learning for absolute beginners in computer programming.

Conclusions:

• The "smart calculator" approach is a promising strategy for introductory programming workshops in the biosciences.
• Short, focused training can significantly improve researchers' data analysis capabilities.
• Making programming accessible is crucial for advancing biological data interpretation.