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課程簡介
Design of Experiments (DoE) 簡介
瞭解實驗設計的類型
設計因數實驗
分析複製和未複製的全因數
篩選實驗
分數因數設計
定製篩選設計
回應曲面設計概述
分析響應面實驗
創建自定義回應曲面設計
執行順序實驗
了解美國能源部指南
定義問題和目標
準備進行實驗
最佳實踐
摘要和後續步驟
最低要求
- 進行實驗的知識和經驗
觀眾
- 科學家
- 工程師
7 時間：
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.
