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
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
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
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
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
我真的從現實生活中的實際例子中受益匪淺。
Wioleta
Course - Data and Analytics - from the ground up
機器翻譯
他清晰地解釋了整個課程,並願意在必要時返回教學大綱
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
機器翻譯
very tailored to needs