课程概览
本课程是 Business Analytics with Excel 专项课程 的一部分
位教师: Joseph W. Cutrone, PhD
4,419 人已注册
包含在 Coursera Plus • 了解更多 中
54 条评论
您将获得的技能
Risk Analysis
Business Modeling
Analytics
Simulation and Simulation Software
Business Analytics
Resource Allocation
Model Optimization
Data-Driven Decision-Making
您将学习的工具
Microsoft Excel
要了解的详细信息
添加到您的领英档案
5 项作业
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书
该课程共有5个模块
This course equips learners with advanced skills in building and analyzing models using Excel to solve real-world business problems.
Participants will learn to optimize decision-making processes using Solver, conduct sensitivity analysis to refine model outcomes, and apply advanced integer programming techniques to tackle complex scenarios.
The course also covers sophisticated methods for solving assignment and transportation problems and introduces simulation techniques to analyze uncertainty and variability in decision-making.
By the end of this course, learners will have the tools to enhance efficiency, improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities.
What sets this course apart is its focus on actionable insights and practical, hands-on applications of advanced techniques, ensuring students are prepared to address challenges across a range of industries.
Whether optimizing operations, solving logistical challenges, or preparing for uncertainty, this course provides essential skills for making confident, data-driven decisions.
Prerequisite knowledge of basic Excel functions and foundational analytics is recommended.
In this module, we do a quick review of how to model business problems in Excel and how to solve for them using Solver.
涵盖的内容
6个视频 9篇阅读材料 1个作业
NCAA T-Shirt Vendor • 15分钟
Quality Sweater Company • 20分钟
Diaz Coffee • 18分钟
Veerman Furniture • 14分钟
Investment Portfolio Optimization • 16分钟
Production Planning • 19分钟
Excel Basics • 10分钟
NCAA T-Shirt Vendor • 5分钟
What-If Analysis • 10分钟
Quality Sweater Company • 5分钟
Linear Programming • 5分钟
Diaz Coffee • 5分钟
Veerman Furniture • 5分钟
Investment Portfolio Optimization • 5分钟
Production Planning • 5分钟
Computer Center Scheduling • 60分钟
We have learned about how to formulate linear programming problems and how to solve them using Excel Solver.In this module, we will learn about sensitivity analysis.So far in all of our models, we assumed that we know every coefficient with certainty.
This unfortunately is hardly the case in real life.Sensitivity analysis allows us to quickly check whether our optimal solution changes when certain parameters change.For example, what if you were not able to receive as much supply as predicted?Would your optimal solution change?
How much profit would you expect to lose?By the end of this module, you will know how to answer questions like these.
涵盖的内容
5个视频 3篇阅读材料 1个作业
B&N Bookstore • 17分钟
Sensitivity Analysis: Variables Table • 23分钟
Sensitivity Analysis: Constraints Table • 10分钟
Sensitivity Analysis: Using Both Tables Together • 13分钟
Using Sensitivity Analysis: Portfolio Example • 20分钟
B&N Bookstore • 5分钟
Sensitivity Analysis Summary • 10分钟
Using Sensitivity Analysis: Portfolio Example • 10分钟
Sensitivity Analysis Assessment • 45分钟
In this module, we dive into the powerful technique of integer programming, a branch of optimization that requires decision variables to be whole numbers, making it particularly valuable for real-world business decisions.
Unlike linear programming, integer programming is essential when dealing with constraints that require discrete decisions, such as determining the number of products to manufacture, selecting projects within budget limits, or optimizing logistics and workforce scheduling.
Using Excel's Solver, you'll learn how to model and solve advanced integer programming problems.This module will equip you with a versatile and widely applicable skill set, helping you approach complex decisions with confidence and precision.
涵盖的内容
6个视频 8篇阅读材料 1个作业
Integer Programming: Princess Brides • 11分钟
Mixed Integer Problem: Bolsa de Café • 13分钟
Binary Investment Decision • 16分钟
Aviate Airlines • 8分钟
Purchasing with Price Breaks using Linking Variables • 18分钟
FDN Catering Company • 13分钟
Integer Programming Review • 10分钟
Integer Programming: Princess Brides • 5分钟
Mixed Integer Problem: Bolsa de Café • 5分钟
Binary Investment Decision • 5分钟
Aviate Airlines • 5分钟
Purchasing with Price Breaks • 5分钟
FDN Catering Company • 5分钟
Assessment Solution • 10分钟
Integer Programming Assessment • 60分钟
In this module, you will dive into the fascinating world of optimization and decision-making to tackle real-world logistical and operational challenges.
Explore how businesses assign tasks efficiently, transport goods cost-effectively, and manage complex networks of supply and demand.
You will learn to build mathematical models that represent these problems and master powerful optimization techniques.
Discover how to evaluate solutions for feasibility and optimality, and transform mathematical results into strategic insights for decision-making in Excel using Solver.
By the end of this module, you’ll have the skills and confidence to address complex business challenges and add significant value to organizational operations.
涵盖的内容
5个视频 5篇阅读材料 1个作业
Transportation Problem Excel Template • 14分钟
MLB Umpire Assignment • 8分钟
Swim Team Assignment • 8分钟
Bonner Electronics • 8分钟
Shortest Path Network Flow • 11分钟
Transportation and Assignment Problems • 10分钟
MLB Umpire Assignment • 10分钟
Swim Team Assignment • 5分钟
Bonner Electronics • 5分钟
Shortest Path Network Flow • 5分钟
Transportation and Assignment Assessment • 60分钟
In all of the optimization problems we studied, we assumed that the values of the parameters were known exactly.We tried to study the impact of uncertainty in our parameters through sensitivity analysis.
While sensitivity analysis is useful, it cannot capture large deviations or simultaneous changes to many parameters.In this module, we will learn a new modelling tool called simulation.
Simulation is a powerful technique used to model and analyze complex systems, especially when uncertainty and variability are key factors.In this module, we will explore how to use Excel to build simulations that aid in decision-making and risk analysis in business contexts.
By learning to implement simulations in Excel, you will gain practical skills that can be applied to a variety of business analytics problems, including financial forecasting, inventory management, and project scheduling.
涵盖的内容
5个视频 5篇阅读材料 1个作业
Harry's Auto Tires • 11分钟
Higgens Plumbing & Heating • 7分钟
Queueing Theory Simulation • 15分钟
Downtown Bookstore Simulation • 15分钟
GE Stock Simulation Analysis • 10分钟
Harry's Auto Tires • 5分钟
Higgens Plumbing & Heating • 5分钟
Queueing Theory Simulation • 5分钟
Downtown Bookstore Simulation • 5分钟
GE Stock Simulation Analysis • 5分钟
Simulation Assessment • 60分钟
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学生评论
54 条评论
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已于 Apr 17, 2025审阅
The complicated material presented was explained exceptionally well and will permit the students to gain many valuable skills in Excel.
已于 Sep 15, 2025审阅
Perfect, however, some parts of the courses were the same as another course available on Coursera with the same instructor.
已于 Jun 29, 2025审阅
This course has been very educative and well articulated. Credits to the professor for the very good job in the well articulated explanations.
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Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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课程大纲
Modeling in Excel: Elementary to Advanced
Sensitivity Analysis
Advanced Integer Programming
Advanced Transportation Problems
Simulation