Start hereAI for Research Associates
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AI for Research Associates (Prompt Course)
30 lessons · 515 prompts
A day in the life of a Research Associate: what changes with these prompts.
Track progress as a memberStart strong: Put AI to work in your research routine from day one
What you'll learn
- How to plan studies with AI support: clarify objectives, variables, measures, sampling, power considerations, protocols, and risk controls
- How to run literature workflows: topic scoping, search strategy planning, synthesis support, and citation integrity checks
- How to set up data operations: collection strategies, codebooks, cleaning plans, governance, and documentation
- How to analyze qualitative data: coding frameworks, theme development, inter-coder reliability support, and reporting structures
- How to conduct statistical modeling and prediction: model selection rationale, assumptions checks, diagnostics summaries, and interpretation guides
- How to handle big datasets: scalable analysis plans, summarization, feature documentation, and reproducibility strategies
- How to build clear visuals: figure planning, chart selection, annotation, and accessibility considerations
- How to prepare manuscripts: section planning, logic flow, argument clarity, journal alignment, and response-to-reviewer strategies
How this course works
- 30 lessonsOne task of your job each, from literature review assistance to big data handling and analysis.
- Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
- Tick and completeTick the prompts you tried and mark each lesson complete.
- Get certifiedFinish with the exam and a certificate for LinkedIn.