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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/statistics-international-business
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课程名称：国际商务统计 课程概述：本课程介绍了在商业及多个MBA模块中实用的统计学核心领域。内容涵盖数据呈现方式、概率和统计估计等多方面知识。学习过程中，学员可以测试自己的理解，且如果希望挑战自我，还可获取更高级的内容。本课程是伦敦大学特别专业化的一部分，旨在帮助学员发展和建设在国际商务及进一步学习中所需的基本商业、学术和文化技能。如顺利完成，您将获得该专业化的证书，作为申请伦敦大学全球MBA项目的一部分，特别适合早期职业申请者。如需更多全球MBA的信息，请访问 https://mba.london.ac.uk/。本课程得到了英国管理协会（CMI）的认可。 课程大纲： 第一部分：使用图表描述数据 本周学习如何使用表格和图表总结、分析和解读数据，以便在不确定环境中做出明智决策。我们将引导您理解人口与样本、参数与统计量以及描述统计与推断统计的概念，并介绍如何创建和解读用于描述分类和连续随机变量的图表。 第二部分：使用指标描述数据 这一周，我们将使用数值或指标来描述和总结数据中的信息，这是对上周分析的关键扩展。虽然图表提供了重要信息，但讨论数据的数值特性通常是提高理解数据的关键。本周将介绍中心趋势的测量、范围、方差、标准偏差等一系列指标。 第三部分：概率与概率分布 概率理论在数学中是个较新的领域，而将概率应用于实践的学科几乎不存在。理解概率是每个人都应具备的技能。本讲将帮助您理解，您的未来所处的世界并非确定性，未来存在一些不能建立概率模型的情境。 第四部分：统计估计 为了使统计分析正常运作，必须从具有测量特征的相关总体中抽取合适的样本。本周我们将讲解统计估计、均值的抽样分布、点估计、区间估计、假设检验、零假设，并探讨一些实际应用案例。
Part: 1
Title:Using Graphs to Describe Data
Description:In our study of statistics, we learn many methods to help us summarize, analyze, and interpret data with the aim of making informed decisions in an uncertain environment. In this first week we introduce tables and graphs that help us get a handle of data. These tools provide visual support for better decision making. With this in mind, we will guide you through the concept of decisions based on incomplete information. Beginning from here, we will introduce you to the concept of population vs. sample, of parameter vs. statistic and of descriptive statistics vs. inferential statistics. We will then go through the concept of describing data, and we will introduce the idea of creating and interpreting graphs to describe categorical and continuous random variables.
Part: 2
Title:Using Measures to Describe Data
Description:This week we will describe and summarize the information in the data using numerical values or measures that are able to summarise information. This is a crucial extension to the analysis of the previous week. While graphs are informative it is usually crucial for improved understanding of the data at hand to discuss their numerical properties. In this week, we will look at a range of measures, such as measures of central tendency, the range, variance, standard deviation, and so on.
Part: 3
Title:Probability and Probability Distributions
Description:Probability theory is a young arrival in mathematics- and probability applied to practice is almost non-existent as a discipline. We should all understand probability, and this lecture will help you to do that. It’s important for you to understand first that the world in which your future occurs is not deterministic- and there are future outcomes where a probability model cannot be developed…
Part: 4
Title:Statistical Estimation
Description:For statistical analysis to work properly, it’s essential to have a proper sample, drawn from a population of items of interest that have measured characteristics. This week, we will cover statistical estimation, sampling distribution of the mean, point estimation, interval estimation, hypothesis testing, the Null hypothesis and look at some real life examples of their use.
This course introduces core areas of statistics that will be useful in business and for several MBA modules. It covers a variety of ways to present data, probability, and statistical estimation. You can test your understanding as you progress, while more advanced content is available if you want to push yourself. This course forms part of a specialisation from the University of London designed to help you develop and build the essential business, academic, and cultural skills necessary to succeed in international business, or in further study. If completed successfully, your certificate from this specialisation can also be used as part of the application process for the University of London Global MBA programme, particularly for early career applicants. If you would like more information about the Global MBA, please visit https://mba.london.ac.uk/. This course is endorsed by CMI
