Math for MBA and GMAT Prep

所在平台: Coursera

课程主页: https://www.coursera.org/learn/math-mba-gmat-prep

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课程简介

课程名称:MBA与GMAT备考数学 课程概述:本课程旨在为参与者提供在商业场景中应用统计学的基本理解。许多考虑攻读MBA项目的学生来自数学和统计学培训相对有限的背景,这使得他们在申请或入学时处于劣势。本课程将为您提供理解商业统计计算的工具,帮助您掌握Excel中包含的公式,并在多种商业环境和情境中应用这些公式。 课程大纲: 1. 介绍 - 描述:认识您的教授Thomas Smith,并自我介绍。 2. 描述性统计 - 描述:本模块涵盖均值、中位数、众数、标准差和基础统计概念。 3. 数据与数据可视化:Excel工具与技术 - 描述:本模块介绍用于数据可视化的Excel工具和技术。 4. 方程与方程求逆(代数复习) - 描述:本模块帮助您复习代数技能及相关方程。 5. 常见商业概念 - 描述:本模块涵盖常见商业概念及其在商业环境中的数学应用。 6. 商业背景下的微积分与边际分析 - 描述:本模块将提供微积分和边际分析的概述。 7. 回归分析 - 描述:本模块将提供回归与系数的概述。 通过本课程,您将能够建立必要的数学基础,以支持您在MBA学习中的成功。

课程大纲

Name:Introduction

Description:Get to know your professor, Thomas Smith, and introduce yourself.

Name:Descriptive Statistics

Description:This module covers means, medians, modes, standard deviations, and foundational statistics concepts.

Name:Data and Data Visualization: Excel Tools and Techniques

Description:This module presents Excel tools and techniques for data visualization.

Name:Equations and Inverting Equations (Algebra Refresher)

Description:In this module, refresh your algebra skills with equations.

Name:Common Business Concepts

Description:This module covers common business concepts and mathematical applications to business settings.

Name:Calculus and Marginal Analysis in a Business Context

Description:This module will provide an overview of calculus and marginal analysis.

Name:Regression Analysis

Description:This module will provide an overview of regressions and coefficients.

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课程详情

This course gives participants a basic understanding of statistics as they apply in business situations. A fair share of students considering MBA programs come from backgrounds that do not include a large amount of training in mathematics and statistics. Often, students find themselves at a disadvantage when they apply for or enroll in MBA programs. This course will give you the tools to understand how these business statistics are calculated for navigating the built-in formulas that are included in Excel, but also how to apply these formulas in an range of business settings and situations.

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