InTDS ArchivebyTorsten Walbaum·Oct 23, 2024Mastering Back-of-the-Envelope Math Will Make You a Better Data ScientistA quick and dirty answer is often more helpful than a fancy modelA response icon5A response icon5
InTDS ArchivebyTorsten Walbaum·Sep 16, 2024There’s a right way to be wrongHow to incorporate business context into your predictions via cost of false positives & negativesA response icon11A response icon11
InTDS ArchivebyTorsten Walbaum·Jul 30, 2024Done is Better Than PerfectHow to be more pragmatic as a Data Scientist, and why it matters for your careerA response icon11A response icon11
InTDS ArchivebyTorsten Walbaum·Jul 3, 2024How to challenge your own analysis so others won’tMaster the art of sanity checks to level up the quality of your workA response icon2A response icon2
InTDS ArchivebyTorsten Walbaum·Jun 26, 2024How to Design Better Metrics9 best practices from leading companies like Uber & MetaA response icon8A response icon8
InTDS ArchivebyTorsten Walbaum·Jun 20, 2024Should You Join FAANG or a Startup as a Data Scientist?Lessons from working at Uber + Meta, a growth stage company and a tiny startupA response icon12A response icon12
InTDS ArchivebyTorsten Walbaum·Jun 11, 2024How to Maximize Your Impact as a Data ScientistActionable advice to accelerate your careerA response icon5A response icon5
InTDS ArchivebyTorsten Walbaum·Jun 4, 2024The Ultimate Guide to Making Sense of DataLessons from 10 years at Uber, Meta and High-Growth StartupsA response icon18A response icon18
InTDS ArchivebyTorsten Walbaum·May 30, 2024What 10 Years at Uber, Meta and Startups Taught Me About Data AnalyticsAdvice for Data Scientists and ManagersA response icon112A response icon112