Python for doctors — clinical research analytics, chart automation, medical AI
SPSS charged $2000/year to do what pandas does for free. And pandas gives you the audit trail SPSS can't.
Clinical research is the highest-value pandas use case outside big tech. RedCap exports, Epic data pulls, retrospective chart reviews, cohort matching, Kaplan-Meier survival curves, propensity-score matching, subgroup analyses — every one of them is a pandas + scipy.stats + lifelines script. And unlike SPSS, the analysis is version-controlled: your peer reviewer sees exactly which rows were excluded and why.
Data Science track: 104 lessons on pandas (chart data manipulation), numpy + scipy.stats (t-tests, chi-square, regressions), matplotlib (publication-grade figures), and dedicated modules for clinical patterns (odds ratios, hazard ratios, ROC curves). AI Engineering track for the frontier stuff: LLM-graded chart review, structured extraction from operative notes, agent loops for literature review. First 15 lessons free — verify the syntax fits.