Скачать или смотреть Google Colab for Data Science (2025): Setup, Drive Mount, GPU, Secrets, Gemini & Quick Dashboard

Kickstart your Data Science journey with this hands-on Google Colab crash course. We cover everything from Colab setup to integrating Google Drive, switching to GPU runtime, managing API keys (secrets), and even using Gemini to autogenerate code and build a quick analytics dashboard. Perfect for beginners moving into Python, ML, and GenAI.

What you’ll learn

Why Python is popular: readability, libraries, exception handling

Colab setup via Google Drive (installing Collaboratory)

Files & structure: working with .ipynb (Interactive Python Notebook)

Runtime settings: CPU vs GPU, when to use which

Mount Google Drive & upload datasets

Manage API keys/secrets inside Colab (e.g., Gemini/OpenAI)

Use Gemini in Colab to scaffold code and plots

Quick demo: building a sales/student metrics dashboard with LLM help

Notes on model monitoring tools (Excel sheets, DataRobot/Tidyno)

Course logistics: recordings, timings, and next steps

Chapters
00:00 Welcome & context
01:05 Python strengths (readable, easy, libraries, cross-platform)
05:20 Install Google Colab via Drive (Collaboratory)
09:40 Understanding .ipynb (interactive Python notebook)
12:10 Runtime → CPU/GPU/TPU (when to switch)
15:00 Mounting Google Drive & uploading datasets
18:45 Managing secrets (store API keys safely in Colab)
22:10 Using Gemini to write helper code (Fibonacci example)
25:30 LLM-assisted dashboard: metrics, plots, correlation
31:50 Model monitoring: quick notes on tools & practice
34:10 Q&A highlights & what’s next

Call to Action
Want structured, project-driven training with recordings and placement support?
👉 Join KSR Datavizon: Power Platform, Data Science with GenAI, and more.
📩 DM “COLAB START” for the syllabus & next batch details.


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