- Excel 的基本理解
受众
- 数据科学家
數據挖掘是通過機器學習等數據科學方法在大數據中識別模式的過程。使用Excel作為數據分析套件，用戶可以進行數據挖掘和分析。
這是一個由講師指導的培訓（線上或線下），旨在幫助數據科學家使用Excel進行數據挖掘。
在培訓結束時，參與者將能夠：
- 使用Excel探索數據，進行數據挖掘和分析。
- 使用Microsoft算法進行數據挖掘。
- 理解Excel數據挖掘的概念。
課程形式
- 互動式講座和討論。
- 大量練習和實踐。
- 在實時實驗室環境中進行動手操作。
課程定制選項
- 如需為本課程定制培訓，請聯繫我們進行安排。
簡介
Data Mining 概述
- Crisp-DM
- 數據挖掘算法
- 數據挖掘結構與模型
準備開發環境
- 安裝與配置 Excel
Data Mining 算法與 Excel 至 SQL 伺服器分析服務
- 使用 Microsoft 算法
- 處理數據挖掘結構與模型
Data Mining 附加元件
- 進行數據建模
- 識別影響因素與類別
- 使用模型進行預測
總結與結論
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