À propos de ce cours
4.6
1,171 notes
158 avis
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 9 heures pour terminer

Recommandé : 4 weeks of study, 1-3 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Portugais (brésilien)

Compétences que vous acquerrez

ModelingRiskMicrosoft ExcelSimulation
Spécialisation
100 % en ligne

100 % en ligne

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Heures pour terminer

Approx. 9 heures pour terminer

Recommandé : 4 weeks of study, 1-3 hours/week...
Langues disponibles

Anglais

Sous-titres : Anglais, Portugais (brésilien)

Programme du cours : ce que vous apprendrez dans ce cours

Semaine
1
Heures pour terminer
2 heures pour terminer

Week 1: Modeling Decisions in Low Uncertainty Settings

This module is designed to teach you how to analyze settings with low levels of uncertainty, and how to identify the best decisions in these settings. You'll explore the optimization toolkit, learn how to build an algebraic model using an advertising example, convert the algebraic model to a spreadsheet model, work with Solver to discover the best possible decision, and examine an example that introduces a simple representation of risk to the model. By the end of this module, you'll be able to build an optimization model, use Solver to uncover the optimal decision based on your data, and begin to adjust your model to account for simple elements of risk. These skills will give you the power to deal with large models as long as the actual uncertainty in the input values is not too high....
Reading
4 vidéos (Total 60 min), 2 lectures, 1 quiz
Video4 vidéos
1.1 How To Build an Optimization Model: Hudson Readers Ad Campaign13 min
1.2 Optimizing with Solver, and Alternative Data Inputs26 min
1.3 Adding Risk: Managing Investments at Epsilon Delta Capital18 min
Reading2 lectures
PDFs of Slides for Week 110 min
Excel Files for Week 110 min
Quiz1 exercice pour s'entraîner
Week 1: Modeling in Low Uncertainty Quiz20 min
Semaine
2
Heures pour terminer
2 heures pour terminer

Week 2: Risk and Reward: Modeling High Uncertainty Settings

What if uncertainty is the key feature of the setting you are trying to model? In this module, you'll learn how to create models for situations with a large number of variables. You'll examine high uncertainty settings, probability distributions, and risk, common scenarios for multiple random variables, how to incorporate risk reduction, how to calculate and interpret correlation values, and how to use scenarios for optimization, including sensitivity analysis and the efficient frontier. By the end of this module, you'll be able to identify and use common models of future uncertainty to build scenarios that help you optimize your business decisions when you have multiple variables and a higher degree of risk. ...
Reading
3 vidéos (Total 51 min), 2 lectures, 1 quiz
Video3 vidéos
2.2 Common Scenarios for Multiple Random Variables, Risk Reduction, and Calculating and Interpreting Correlation Values18 min
2.3 Using Scenarios for Optimizing Under High Uncertainty, Sensitivity Analysis and Efficient Frontier15 min
Reading2 lectures
PDFs of Lecture Slides for Week 210 min
Excel Files for Week 210 min
Quiz1 exercice pour s'entraîner
Week 2: Modeling in High Uncertainty Quiz20 min
Semaine
3
Heures pour terminer
2 heures pour terminer

Week 3: Choosing Distributions that Fit Your Data

When making business decisions, we often look to the past to make predictions for the future. In this module, you'll examine commonly used distributions of random variables to model the future and make predictions. You'll learn how to create meaningful data visualizations in Excel, how to choose the the right distribution for your data, explore the differences between discrete distributions and continuous distributions, and test your choice of model and your hypothesis for goodness of fit. By the end of this module, you'll be able to represent your data using graphs, choose the best distribution model for your data, and test your model and your hypothesis to see if they are the best fit for your data....
Reading
4 vidéos (Total 81 min), 2 lectures, 1 quiz
Video4 vidéos
3.2, pt 1: Choosing Among Distributions: Discrete Distributions25 min
3.2, pt 2: Choosing Among Distributions: Continuous Distributions11 min
3.3 Hypothesis Testing and Goodness of Fit22 min
Reading2 lectures
PDFs of Lecture Slides for Week 310 min
Excel Files for Week 310 min
Quiz1 exercice pour s'entraîner
Week 3: Choosing Fitting Distributions Quiz20 min
Semaine
4
Heures pour terminer
2 heures pour terminer

Week 4: Balancing Risk and Reward Using Simulation

This module is designed to help you use simulations to enabling compare different alternatives when continuous distributions are used to describe uncertainty. Through an in-depth examination of the simulation toolkit, you'll learn how to make decisions in high uncertainty settings where random inputs are described by continuous probability distributions. You'll also learn how to run a simulation model, analyze simulation output, and compare alternative decisions to decide on the most optimal solution. By the end of this module, you'll be able to make decisions and manage risk using simulation, and more broadly, to make successful business decisions in an increasing complex and rapidly evolving business world....
Reading
4 vidéos (Total 53 min), 2 lectures, 1 quiz
Video4 vidéos
4.2 Connecting Random Inputs and Random Outputs in a Simulation23 min
4.3 Analyzing and Interpreting Simulation Output: Evaluating Alternatives Using Simulation Results10 min
Course Conclusion25s
Reading2 lectures
PDFs of Lecture Slides10 min
Excel files for Week 410 min
Quiz1 exercice pour s'entraîner
Week 4: Using Simulations Quiz20 min
4.6
158 avisChevron Right
Orientation de carrière

20%

a commencé une nouvelle carrière après avoir terminé ces cours
Avantage de carrière

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Meilleurs avis

par JNApr 13th 2018

covers good amount of material and exactly what is in the outline, presented with enough detail to follow. Good walk-through of the spreadsheets helps understanding, easy to follow along and practice.

par LCDec 19th 2016

Material was very well presented. Week 3 was challenging, but taking time to print out the slides, work through them rigorously proved very helpful. I found all sections very, very informative.

Enseignants

Avatar

Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School
Avatar

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School

À propos de University of Pennsylvania

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

À propos de la Spécialisation Business and Financial Modeling

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance....
Business and Financial Modeling

Foire Aux Questions

  • Une fois que vous êtes inscrit(e) pour un Certificat, vous pouvez accéder à toutes les vidéos de cours, et à tous les quiz et exercices de programmation (le cas échéant). Vous pouvez soumettre des devoirs à examiner par vos pairs et en examiner vous-même uniquement après le début de votre session. Si vous préférez explorer le cours sans l'acheter, vous ne serez peut-être pas en mesure d'accéder à certains devoirs.

  • Lorsque vous vous inscrivez au cours, vous bénéficiez d'un accès à tous les cours de la Spécialisation, et vous obtenez un Certificat lorsque vous avez réussi. Votre Certificat électronique est alors ajouté à votre page Accomplissements. À partir de cette page, vous pouvez imprimer votre Certificat ou l'ajouter à votre profil LinkedIn. Si vous souhaitez seulement lire et visualiser le contenu du cours, vous pouvez accéder gratuitement au cours en tant qu'auditeur libre.

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