Dear Colleagues, A few days ago I have announced a Generalised Linear Models (GLM) course with a supposedly catchy title about statistical neurodivergence. Apparently I am not good at writing catchy mails... so what can I do in this age? Ask "Claude": András: "Please formulate an explanation why molecular biology PhD students and postdocs would benefit from a course on Generalised Linear Models (GLM-s). The course discusses Binomial GLMs aka logistic regression, Poisson and Quasi-Poisson GLMs and "classical" least squares as a special case. The explanation shall be brief, appropriate for people with little time to read emails, and it should have a professional but upbeat tone as the purpose of this explanation is to motivate the target audience to sign up." This is what came back (apparently Claude read my mind and "knew" the course will use R): Claude 4.6: "If you've ever wrestled with count data, proportions, or binary outcomes in R — and forced them into a t-test or ANOVA anyway — this course is for you. Generalised Linear Models (GLMs) give you the right statistical tool for the data you actually collect in molecular biology: 🧬 Logistic regression — for binary outcomes (e.g. cell survival, mutation presence/absence) 🔢 Poisson/Quasi-Poisson GLMs — for count data (e.g. read counts, colony counts, foci per cell) 📐 Least squares as a special case — finally understand why linear regression works when it does No more shoehorning non-normal data into the wrong model. GLMs let you analyse your data honestly, report results rigorously, and hold your own in peer review. The course is hands-on, biology-focused, and designed for people who didn't sign up for a statistics degree — but need to do statistics well." If you were convinced by the LLM's sales pitch, here are some details: Date/Time: Tuesday 5th May, from 09:00 to 13:00. Mandatory pre-requisite: Good basic statistics skills. Recommended but not essential: Familiarity with least-squares regression techniques. Cost: Free of charge. How to register: First of all: If you register and then don't attend, then you take away a place from a colleague. Please plan ahead responsibly. 1) Check your calendar! 2) Ask your PI. 3) Go to the Training schedule page https://training.vbcf.ac.at/training/schedule.php , click on the "Register" button for the course and fill out the little form. Thank you, András