课程大纲
统计数据可以为决策者提供什么
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描述性 Statistics
基本统计 - 哪些统计(例如中位数、平均值、百分位数等)与不同的分布更相关
图表 - 正确处理的重要性(例如,图表的创建方式如何反映决策)
变量类型 - 哪些变量更容易处理
Ceteris paribus,事物总是在运动
第三个变量问题——如何找到真正的影响者
在信息有限的情况下做出决策 如何检查多少信息才足够 根据概率和潜在回报(收益/成本比、决策树)确定目标的优先级
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错误如何累积
蝴蝶效应
估计 独立的信息来源和自由度
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假设检验的逻辑
可以证明什么,为什么它总是与我们想要的相反(伪造)
要求
需要良好的数学技能。需要接触基本统计数据(即与进行统计分析的人一起工作)。
客户评论 (7)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
课程 - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
课程 - Statistical Analysis using SPSS
经过深思熟虑和高档的规划材料。
Andrew - Office of Projects Victoria - Department of Treasury & Finance
课程 - Forecasting with R
机器翻译
并不无聊,培训师可以保持注意力,主题被深入覆盖。
Marta - Ministerstwo Zdrowia
课程 - Advanced R Programming
机器翻译
very tailored to needs
Yashan Wang
课程 - 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
课程 - 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.