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課程簡介
準備用於分析的資料庫
- 數據收集管理
- 變數操作
- 變換變數選定函數(對數、指數等)
參數和非參數統計,或如何將模型擬合到數據
- 測量刻度
- 分佈類型
- 異常值和有影響力的觀測值(異常值)
- 樣本量
- 中心極限定理
研究統計特徵之間的差異
- 基於平均值和介質的測試
相關性和相似性分析
- 相關性
- 主成分分析
- 聚類分析
預測 - 單回歸分析和多變數
- 最小二乘法
- 線性模型
- 工具變數回歸模型(虛擬編碼、效應編碼、正交編碼)
統計推斷
最低要求
瞭解SPSS和統計學基礎。課程參與者應完成 SPSS Statistics 預測分析軟體的培訓。
28 時間:
客戶評論 (5)
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
靈活友好的風格。確切地瞭解對我有用和相關的內容。
Jenny
Course - Advanced R
機器翻譯