|
所在平台: Coursera |
课程主页: https://www.coursera.org/learn/business-statistics
课程评论：没有评论
课程名称: 商业推论与预测统计 课程概述: 本课程提供一个分析框架，帮助您以结构化的方式评估关键问题，并为您提供工具，以更好地管理企业过程中普遍存在的各种不确定性。课程旨在涵盖与管理者相关的统计概念，讨论两个基本主题：首先，识别和描述我们周围万物中的变异；其次，在这些变异的影响下进行建模和决策。我们所研究的基本概念将在许多其他课程和商业环境中重现。我们的重点将放在如何在商业和管理的环境中解读结果的含义上。 在课程中，您将学习一些科学知识，但重点将放在应用这些方法论上。通过使用 Excel 及来自多个学科的数据集，您将看到统计学在不同背景下的应用。课程不仅仅是解释这些概念，还注重理解所获得结果的意义。 您将能够： - 对一个总体进行信念检验 - 比较不同总体之间的差异 - 使用线性回归模型进行预测 - 使用 Excel 进行统计分析 本课程是吉斯商学院在线项目的一部分，包括 iMBA 和 iMSM。您可以进一步了解这些项目的入学要求，并探索如果被接受进入学位项目，您的 Coursera 学习如何响应于该项目的信息，链接：[https://degrees.giesbusiness.illinois.edu/idegrees/](https://degrees.giesbusiness.illinois.edu/idegrees/)。 课程大纲: 1. 课程导览: 在课程导览中，您将熟悉课程内容、同学和学习环境。同时帮助您获取课程所需的技术技能。 2. 模块一: 假设检验: 在这个模块中，您将学习如何科学地检验某些主张的真实性，例如广告中的夸张承诺。 3. 模块二: 基于两个样本的统计推断: 本模块将教您如何比较医疗效果，验证某些产品声称的优越性是否真实。 4. 模块三: 简单线性回归: 了解与工作久坐有关的健康风险的研究案例，探索变量之间的关系。 5. 模块四: 多元线性回归: 本模块将帮助您预测销售数字，明确影响销售的多种因素，并从中识别出关键的影响因素。
Name:Course Orientation
Description:In the course orientation, you will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
Name:Module 1: Hypothesis Testing
Description:Watch any infomercial and you hear many outrageous promises. Use this cream and your skin will look 80% firmer! Use this supplement and you will lose 10 pounds in the first 10 days! Are they telling you the truth? Are they all lying? The only way to know the answer to any of these questions is to scientifically test the claim being made – that is what we call hypothesis testing and what we will learn in this module.
Name:Module 2: Statistical Inference Based on Two Samples
Description:Does the medicine a person is taking to treat his condition really work better than a sugar pill? Is the new chip-enabled credit card more secure than the magnetic card? How do you know whether the claims being made about anything being “better than” or “faster than” a competitor are true? In this module we will learn to make this comparison.
Name:Module 3: Simple Linear Regression
Description:Does your job involve a lot of sitting? If so, you are at higher risk of coronary heart disease. How do I know this? We got to know the relationship between coronary heart disease and sitting when researchers studied a cohort of London bus drivers and bus conductors from 1947 to 1972. If you want to know more, then read on!
Name:Module 4: Multiple Linear Regression
Description:You are trying to predict next month’s sales numbers. You know that dozens, maybe even hundreds, of things like the weather, competitor’s promotions, rumors, etc. can impact the number. You talk to five people and each one has an idea about what makes the biggest impact, and the only thing they offer is “trust me.” Do you wish there was a better way of doing this rather than relying on blind faith? Well, there is. We can use Multiple Regression to sort through this mess and bring the focus to factors that really do matter.
This course provides an analytical framework to help you evaluate key problems in a structured fashion and will equip you with tools to better manage the uncertainties that pervade and complicate business processes. To this end, the course aims to cover statistical ideas that apply to managers by discussing two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations. The fundamental concepts studied in this course will reappear in many other classes and business settings. Our focus will be on interpreting the meaning of the results in a business and managerial setting. While you will be introduced to some of the science of what is being taught, the focus will be on applying the methodologies. This will be accomplished through use of Excel and using data sets from many different disciplines, allowing you to see the use of statistics in very diverse settings. The course will focus not only on explaining these concepts but also understanding the meaning of the results obtained. You will be able to: • Test for beliefs about a population • Compare differences between populations • Use linear regression model for prediction • Use Excel for statistical analysis This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.
