Start hereAI for Data Scientists
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AI for Data Scientists (Prompt Course)
15 lessons · 244 prompts
A day in the life of a Data Scientist: what changes with these prompts.
Track progress as a memberStart here: Build an AI-augmented data science workflow from raw data to deployed decisions
This prompt course gives data scientists a practical, end-to-end system for using AI assistants across the entire lifecycle: framing problems, preparing data, building and selecting models, evaluating results, optimizing performance, and deploying responsibly. Each section focuses on outcomes that matter in production-quality, speed, clarity, and accountability-while showing how AI can reduce busywork, improve reasoning quality, and support better decisions.
What you'll learn
- How to integrate AI assistants into daily workflows for faster iteration, clearer documentation, and consistent decision-making.
- Methods for turning business questions into testable hypotheses, evaluation plans, and measurable success criteria.
- Structured approaches to data preprocessing and feature creation that improve model performance while preserving transparency.
- Ways to plan and compare models-classical and deep learning-using clear selection criteria and reproducible experiments.
- Techniques for model optimization, including hyperparameter exploration, ablation planning, and trade-off analysis.
- Strategies for rigorous evaluation, error analysis, fairness checks, and monitoring plans that extend beyond first deployment.
- Guidance for working with text, images, time series, and streaming data using scalable patterns that transfer across tools.
- Frameworks for responsible AI: privacy-aware practices, bias mitigation tactics, and human-in-the-loop safeguards.
How this course works
- 15 lessonsOne task of your job each, from ai model evaluation to ai in healthcare data 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.