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。
客戶評論 (8)
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
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
經過深思熟慮和高檔的規劃材料。
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
機器翻譯
並不無聊,培訓師可以保持注意力,主題被深入覆蓋。
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
機器翻譯
very tailored to needs
Yashan Wang
Course - Data Mining with 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
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
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.