Learn directly from Omid Gheysar
Go deeper with a course
Turn Survey Data Into Decisions: Python and R with AI Assist, no coding required
Omid Gheysar
Go deeper with a course
Turn Survey Data Into Decisions: Python and R with AI Assist, no coding required
Omid Gheysar
What you'll learn
A crisp workflow for survey ML
How to go from raw questionnaire data → tidy table → one/two-variable checks → a first predictive model you can trust.
Hypothesis testing that actually informs action
When to use proportion/mean tests and simple regressions so stakeholders get clear, defensible answers.
AI-assisted, code-verified analysis
How to use tools like ChatGPT/Copilot to draft code and explanations—then verify in Python (Colab) or R (RStudio/Posit)
Why this topic matters
Most orgs collect surveys but stop at pretty charts. Decisions need tested claims and interpretable models: “Does stress at work predict care-seeking?” “Which factors most move satisfaction?” This session shows a repeatable path from messy responses to evidence you can present with confidence—fast enough for busy analysts and PMs, rigorous enough for research reviews.
You'll learn from
Omid Gheysar
Senior Analyst; PhD; DS/ML instructor; Nature author; 10+ yrs ML.
Applied & Computational Mathematics PhD • Public-health data scientist in BC • 10+ years building predictive models for real-world health & behavior datasets. I focus on clear hypotheses, transparent code, and practical ML that changes decisions—not just slides.