IBM IBSC 2026-01-28 | Module 1 Recap + Week 2 Preview | Lecture 1 Recap
Автор: Alexander Booth
Загружено: 2026-02-13
Просмотров: 29
Описание:
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
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