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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/data-analytics-for-lean-six-sigma
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课程名称：精益六西格玛的数据分析 课程概述：欢迎参加《精益六西格玛的数据分析》课程。在此课程中，您将学习到在精益六西格玛改进项目中常用的数据分析技术。本课程结束时，您将能够分析和解释在此类项目中收集的数据，并能够使用Minitab进行数据分析。同时，我将简要解释什么是精益六西格玛。 课程将强调数据分析工具的使用以及结果的解释。我将通过实际的精益六西格玛项目示例来说明所有工具，而不会讨论任何数学背景。 虽然我们选定的案例背景为精益六西格玛改进项目，但数据分析工具的适用范围非常广泛，因此您将学习到可以在更广泛的背景下应用的技术。 希望您喜欢本课程，祝您好运！ —— Dr. Inez Zwetsloot 及 IBIS UvA 团队 课程大纲： 1. 数据与精益六西格玛： 介绍精益六西格玛及其在DMAIC框架中数据和数据分析的作用，同时介绍数据分析软件包Minitab，课程中将多次使用该软件，虽然使用Minitab并不是必须的。 2. 理解与可视化数据： 学习数据可视化技巧，包括单一变量和双变量的可视化方法，掌握选择合适图表的技巧，并了解数值型数据与类别型数据之间的区别。 3. 使用概率分布： 了解如何量化不确定性，并回答一个重要的商业问题：“有多少产品或案例符合我们的规范?” 4. 引言与测试： 学习如何建模关键质量特征（CTQ）及其影响因素，并使用决策树选择适当的工具进行基于数据的测试。此外，还将介绍因果关系。 5. 测试：数值 Y 与类别 X： 学习如何建立数值 Y 变量（CTQ）与类别影响因素（X 变量）之间的关系。 6. 测试：数值 Y 与数值 X： 了解如何通过统计测试来回答例如“住院时间与患者年龄之间的关系”这类问题，即数值 CTQ（Y变量）与数值影响因素（X变量）之间的关系。 7. 测试：类别 Y： 学习如何测试当您的 Y 变量（CTQ）为类别变量时，Y 与 X 变量之间的关系。
Name:Data and Lean Six Sigma
Description:This module introduces Lean Six Sigma and shows you where data and data analytics have their place within the DMAIC framework. It also introduces the software package Minitab. This package is used throughout the videos for data analytics. It is not mandatory to use this package. I just really like it!
Name:Understanding and visualizing data
Description:This module explains how to visualize data. It discusses visualizing single variables as well as visualizing two variables. You will learn to select the appropriate graph. For this it is essential to first learn the distinction between numerical and categorical data.
Name:Using probability distributions
Description:In this module on using probability distributions, you will learn how to quantify uncertainty. Furthermore you will learn to answer an important business question: “what percentage of products or cases meet our specifications?".
Name:Introduction to testing
Description:You will learn to model your CTQ and influence factor(s) and to use a decision tree to select the appropriate tool for data based testing of this model. Furthermore, causality is introduced.
Name:Testing: numerical Y and categorical X
Description:In this module on statistical testing, you will learn how to establish relationship between a numerical Y variable (the CTQ) and categorical influence factors (the X variables).
Name:Testing: numerical Y and numerical Y
Description:What is the relation between the length of stay and the age of a patient? In this module you will learn to answers these types of questions using statistical tests to relate a numerical CTQ (the Y variable) to a numerical influence factor (the X variable).
Name:Testing: categorical Y
Description:Finally you will learn how to test a relationship between a Y and a X variable whenever your Y variable (the CTQ) is a categorical variable.
Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools. I will not discuss any mathematical background. The setting we chose for our data example is a Lean Six Sigma improvement project. However data analytics tools are very widely applicable. So you will find that you will learn techniques that you can use in a broader setting apart from improvement projects. I hope that you enjoy this course and good luck! Dr. Inez Zwetsloot & the IBIS UvA team
