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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "4f6ecb1f-3c7b-4c24-bfb4-6e18b10bbdea", | |
"metadata": {}, | |
"source": [ | |
"# Day3: データ分析とビジネスインテリジェンス\n", | |
"\n", | |
" 生産現場で求められるさまざまなデータ分析要件の実例を紹介します。またデータ分析に用いるツールの使い方を学び、ビジネスケースでのデータ分析を体験できます。開発効率とデータ可視化の観点からビジネスインテリジェンスの重要性を理解し、ビジネスの成功を支える方法を学べます。\n" | |
] | |
} | |
], | |
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"display_name": "Python 3 (ipykernel)", | |
"language": "python", | |
"name": "python3" | |
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"name": "ipython", | |
"version": 3 | |
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"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.11.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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