中国欧盟商会与莱茵学院共同推出于11月15日至16日开课的制造行业的大数据分析与管理课程。以下为该课详情。
The Course of Big Data Analysis and Management for Manufacturers will be jointly held by the European Chamber of Commerce in China with TÜV from 15th to 16th November. Below is detailed information about the course.
制造行业的大数据分析与管理课 | Big Data Analysis and Management for Manufacturers
Enable your staff to understand over 10 different types of data collation and analysis methods, get inspiration from industry cases, conduct valuable analyses for your enterprise and provide support for daily operations and strategic decisions
让您的员工掌握数据的采集和分析流程、常用的十余种分析方法（时间序列预测，决策树，多元回归，逻辑回归，文字云等等）、从行业应用案例中获取灵感，从而作出有价值的分析，为企业的日常运营及战略决策提供支持
Date: November, two-day offline courses
开课时间：11月15-16日，为期2天集中线下授课
Target Attendees: Marketing and Sales; R&D staff；Process developers；Supervisor and manager of manufacturing department；Supplier management；After-sales service supervisor and manager；IT department executives and those who dedicated to data mining and analysis
课程受众：市场和销售人员；研发人员；工艺开发人员；制造部主管和经理；供应商管理人员；售后服务主管、经理；IT部人员；企业高层等致力于数据挖掘和分析的人员
Fee: Non-member; 4000RMB per person; Member: 3600 RMB per person
费用：非会员4,000元/人，会员3,600元/人 (可同时报名莱茵的其他课程，享受更高折扣)
Course Outline课程大纲：
Section I the Value of big data in Industry 4.0
• 4V features and Value of big data
• Application of industrial big data
Section II Big data acquisition method
• Misunderstanding of big data collection
• Big data acquisition plan
Section III Data Analysis Basis
• Data analysis basis
-Common distribution
-Common graphical analysis methods
Matrix diagram to determine the correlation of multiple variables
The main influencing factors of multivariate mapping
Section Ⅳ Brief introduction of industrial data analysis methodology
• Higher order analysis method for industrial big data
-Time series Predication
-Predictive Modeling
-Logistic Regression
-Decision Tree
• Text Analysis
• Simulation
• Warranty Analysis and Predication
• Identification of outliers
• SPC applications of real-time online monitoring
Section Ⅴ Practical Operation of Data Mining Software
• Data Analysis Software Interface
• Case Study and practice of industrial data
Section Ⅵ Information Security in big data era
Section I 大数据在工业 4.0中的价值
•大数据的4V 特征与价值
•工业大数据的应用
Section II 大数据的采集方法
•大数据的采集误区
•大数据的采集计划
Section III 数据的分析基础
•数据的分析基础
-常见分布
-常用的图形化分析方法
矩阵图判断多个变量相关性
多变异图查找主要影响因素
Section Ⅳ 工业数据分析方法简介
•工业大数据高阶分析方法
-Time series Predication时间序列预测
-Predictive Modeling 预测性模型
-Logistic Regression 逻辑回归
-Decision Tree 决策树
•Text Analysis 文本信息挖掘方法
•Simulation 模拟仿真技术
•Warranty Analysis and Predication 质保期分析和预测
•异常点的识别
•实时在线监测的 SPC 应用
Section Ⅴ 数据挖掘的软件实际操作
•数据分析软件界面介绍
•工业数据案例分析及练习
Section Ⅵ 大数据时代的信息安全
For more course details, please click here
更多课程详情，请点击此处。