Über diesen Kurs
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Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 9 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Portugiesisch (Brasilien)

Kompetenzen, die Sie erwerben

ModelingRiskMicrosoft ExcelSimulation

100 % online

Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.

Flexible Fristen

Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.

Ca. 9 Stunden zum Abschließen

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

Englisch

Untertitel: Englisch, Portugiesisch (Brasilien)

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1
2 Stunden zum Abschließen

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 (Gesamt 60 min), 2 Lektüren, 1 Quiz
4 Videos
1.1 How To Build an Optimization Model: Hudson Readers Ad Campaign13m
1.2 Optimizing with Solver, and Alternative Data Inputs26m
1.3 Adding Risk: Managing Investments at Epsilon Delta Capital18m
2 Lektüren
PDFs of Slides for Week 110m
Excel Files for Week 110m
1 praktische Übungen
Week 1: Modeling in Low Uncertainty Quiz20m
Woche
2
2 Stunden zum Abschließen

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 (Gesamt 51 min), 2 Lektüren, 1 Quiz
3 Videos
2.2 Common Scenarios for Multiple Random Variables, Risk Reduction, and Calculating and Interpreting Correlation Values18m
2.3 Using Scenarios for Optimizing Under High Uncertainty, Sensitivity Analysis and Efficient Frontier15m
2 Lektüren
PDFs of Lecture Slides for Week 210m
Excel Files for Week 210m
1 praktische Übungen
Week 2: Modeling in High Uncertainty Quiz20m
Woche
3
2 Stunden zum Abschließen

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 (Gesamt 81 min), 2 Lektüren, 1 Quiz
4 Videos
3.2, pt 1: Choosing Among Distributions: Discrete Distributions25m
3.2, pt 2: Choosing Among Distributions: Continuous Distributions11m
3.3 Hypothesis Testing and Goodness of Fit22m
2 Lektüren
PDFs of Lecture Slides for Week 310m
Excel Files for Week 310m
1 praktische Übungen
Week 3: Choosing Fitting Distributions Quiz20m
Woche
4
2 Stunden zum Abschließen

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 (Gesamt 53 min), 2 Lektüren, 1 Quiz
4 Videos
4.2 Connecting Random Inputs and Random Outputs in a Simulation23m
4.3 Analyzing and Interpreting Simulation Output: Evaluating Alternatives Using Simulation Results10m
Course Conclusion25
2 Lektüren
PDFs of Lecture Slides10m
Excel files for Week 410m
1 praktische Übungen
Week 4: Using Simulations Quiz20m
4.6
184 BewertungenChevron Right

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nahm einen neuen Beruf nach Abschluss dieser Kurse auf

24%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs

Top-Bewertungen

von 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.

von 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.

Dozenten

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Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School
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Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School

Über 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. ...

Über die Spezialisierung 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

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