课程大纲
准备用于分析的数据库
- 数据收集管理
- 变量操作
- 变换变量选定函数(对数、指数等)
参数和非参数统计,或如何将模型拟合到数据
- 测量刻度
- 分布类型
- 异常值和有影响力的观测值(异常值)
- 样本量
- 中心极限定理
研究统计特征之间的差异
- 基于平均值和介质的测试
相关性和相似性分析
- 相关性
- 主成分分析
- 聚类分析
预测 - 单回归分析和多变量
- 最小二乘法
- 线性模型
- 工具变量回归模型(虚拟编码、效应编码、正交编码)
统计推断
要求
了解SPSS和统计学基础。课程参与者应完成 SPSS Statistics 预测分析软件的培训。
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.