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Simplifying Data Analysis and Visualization with Developer Tools and AI

Visual Studio Code via YouTube

Overview

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This talk demonstrates how non-Python developers can go from finding an open dataset to analyzing it and creating visual insights with developer tools and AI assistance. It introduces a reusable Codespaces environment, Jupyter notebooks, Data Wrangler, GitHub Copilot, and LIDA.

Syllabus

Simplifying Data Analysis & Visualization with Developer Tools & AI
Follow along
Introduction - Data Analysis Challenges & Goals
GitHub Codespaces - Reusable environments
Jupyter Notebooks - Make it reproducible
GitHub Copilot - AI-assisted learning
Visual Studio Code - Productivity extensions
Open Datasets - Data Wrangler
Resonsible AI toolkit - Model debugging for fairness
Project LIDA - AI-assisted intuition & visualization
Azure AI Studio - Paradigm shift to LLM Ops
Summary - Questions & Next Steps

Taught by

Visual Studio Code

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