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课程大纲
准备用于分析的资料库
- 数据收集管理
- 对变数的操作
- 变换变数 所选函数 （对数、指数等）
参数和非参数统计量，或如何将模型拟合到数据
- 测量刻度
- 分发类型
- 离群值和有影响的观测值 （Outliers）
- 样本量
- 中心极限定理
研究统计特征之间的差异
- 基于平均值和媒体的测试
相关性和相似性分析
- 相关性
- 主成分分析
- 聚类分析
预测 - 单回归分析和多变数
- 最小二乘法
- 线性模型
- 工具变数回归模型（虚拟、效应、正交编码）
统计推断
要求
了解SPSS和统计基础。课程参与者应完成 SPSS Statistics Predictive Analytics 软体的培训。
28 小时
客户评论 (5)
有运动和展示的变化。
Ida Sjoberg - Swedish National Debt Office
课程 - Econometrics: Eviews and Risk Simulator
机器翻译
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - Road Safety Department
课程 - Statistical Analysis using SPSS
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
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
课程 - Programming with Big Data in R
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.
