Acerca de este Curso
20,451 vistas recientes

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 9 horas para completar

Sugerido: 4 weeks of study, 1-3 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Portugués (de Brasil)

Habilidades que obtendrás

ModelingRiskMicrosoft ExcelSimulation

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 9 horas para completar

Sugerido: 4 weeks of study, 1-3 hours/week...

Inglés (English)

Subtítulos: Inglés (English), Portugués (de Brasil)

Programa - Qué aprenderás en este curso

Semana
1
2 horas para completar

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.

...
4 videos (Total 60 minutos), 2 readings, 1 quiz
2 lecturas
PDFs of Slides for Week 110m
Excel Files for Week 110m
1 ejercicio de práctica
Week 1: Modeling in Low Uncertainty Quiz20m
Semana
2
2 horas para completar

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.

...
3 videos (Total 51 minutos), 2 readings, 1 quiz
Semana
3
2 horas para completar

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.

...
4 videos (Total 81 minutos), 2 readings, 1 quiz
2 lecturas
PDFs of Lecture Slides for Week 310m
Excel Files for Week 310m
1 ejercicio de práctica
Week 3: Choosing Fitting Distributions Quiz20m
Semana
4
2 horas para completar

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.

...
4 videos (Total 53 minutos), 2 readings, 1 quiz
2 lecturas
PDFs of Lecture Slides10m
Excel files for Week 410m
1 ejercicio de práctica
Week 4: Using Simulations Quiz20m
4.6
189 revisionesChevron Right

38%

comenzó una nueva carrera después de completar estos cursos

28%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

Principales revisiones sobre Modeling Risk and Realities

por 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.

por 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.

Instructores

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

Acerca de Universidad de Pensilvania

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. ...

Acerca del programa especializado 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

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.