IBM IBSC 2026-01-28 | Module 1 Recap + Week 2 Preview | Lecture 1 Recap скачать в хорошем качестве

IBM IBSC 2026-01-28 | Module 1 Recap + Week 2 Preview | Lecture 1 Recap

Lecture 1 Recap for the IBM Data Science Professional Certificate (IBSC 2026-01-28 cohort). In this recap, we review Week 1 (Module 1: Thinking Like a Data Scientist), walk through how the course is structured week-to-week, and preview what to expect in Week 2 (intro to Python programming + a first look at data collection). In this video we cover: • How the course flows each week (media sets, discussion forums, labs, quizzes, live session) • What “thinking like a data scientist” actually means • CRISP-DM vs. the Rollins methodology (and why iteration matters) • What a “data product” can be (dashboards, models, agents, apps) • Data drift and model drift (why models get stale) • Week 1 cuisine notebook walkthrough (end-to-end lifecycle example) • Week 2 preview: variables, conditionals, loops, functions, and intro to APIs • Notes on the Week 2 RandomUser library issue (Module 2.10) 🔗 GitHub Repository (Notebooks + Materials): https://github.com/ABoothInTheWild/ibm_dat... If you get stuck in any of the IBM Cloud notebooks, check the matching notebook in the GitHub repo for a working version and example solutions. #DataScience #IBM #MachineLearning #Python #DataAnalytics #CRISPDm #JupyterNotebook #APIs #MLOps #AICourse #DataScienceBootcamp