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課程參與學習分享
資料科學教學經驗分享會
國立政治大學
資訊管理學系碩士班
李欣穎 Agnès
Sep. 2nd, 2015
社群媒體資料分析
• 對社群媒體資料分析的認識
• 透過專家演講及分組實作學習資料分析的知識
與技能
• 對社會網路的認識
• 如何做資料視覺化
學習
期望
• Social + Media  線下  線上  行銷、經營。
數量、關聯、文本、質性分析
• 研究問題的擬定及解題策略
• 社會網絡關聯/關係及研究
• 資料視覺化的效果與技巧
學習
成果
• 通盤性的知識教授是入門開始
• 領域的知識需要時間和經驗
• 資料的探索時間和分析技術有限
學習
建議
2
DSP資料科學營
• 學習資料科學的知識,同時熟悉其工作流程
• R語言的學習與應用
• 與不同背景的學員交流,一起實作完成專案
學習
期望
• 對資料科學的思考及問對問題
• 用R語言做資料分析及報表呈現
• 探索性研究問題:觀察現狀、團隊合作
學習
成果
• 完整體驗資料科學
• 硬體設備的一致性
學習
建議
3
4
5

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