Jeroen Janssens - R and Raylib: All Fun and Games‽


Malorie Hughes - The Anatomy of a Plot: From gg to highcharter


Mike Band - The Many Ways to Create a Composite Score in Sports & Beyond


Molly Huie - Data for Everyone: Using Shiny to Make Data Accessible for Non-Technical Colleagues


Jared Lander - Using R for GIS and Mapping


Daniel Chen- Combining Analysis Work w/ Reports & Presentations What I Would Change About My Dissert


Bernardo Lares & Igor Skokan - Min. Human Bias in Marketing Mix Models using Meta Open Source Robyn


Andrew Gelman- When You do Applied Statistics, You're Acting Like a Scientist. Why Does this matter?


Matt Heaphy - Actuarial Experience Studies and Assumption Setting in R


Sarah Catanzaro - Started from the Bottom Now We’re Here: Revisiting the AI Hierarchy of Needs


Tom Bliss - Understanding Player Movement in the National Football League Using Tracking Data


Emil Hvitfeldt - I Did 'Advent of Code' and Here Is What I Learned


Daniel Lee - How to Win a Hackaton


Cat Zhou - Causal not Casual: Building Up Causal Measurement


Asmae Toumi - Using Data and R to Deliver Evidence-Based Care for Substance Use Disorders


Ipek Ensari - Functional Data Methods for Characterizing Health & Disease Patterns via mHealth Tech.


Stacy Lansey - The Perfect Data Science Stakeholder


Hamdan Azhar - An Introduction to Emoji Data Science in R


Wes McKinney & Jon Keane - Apache Arrow in an Interconnected World


Jennifer Hill - Deep Down, Everyone Wants to be Causal


Max Kuhn - Monitor Your Data As Well As Your Model


SDS 589: Narrative A.I. — with Hilary Mason