This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The course on operations analytics, taught by three of Wharton’s leading experts, focuses on how the data can be used to profitably match supply with demand in various business settings. In this course, you will learn how to model future demand uncertainties, how to predict the outcomes of competing policy choices and how to choose the best course of action in the face of risk. The course will introduce frameworks and ideas that provide insights into a spectrum of real-world business challenges, will teach you methods and software available for tackling these challenges quantitatively as well as the issues involved in gathering the relevant data.
This course is appropriate for beginners and business professionals with no prior analytics experience.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Unternehmensanalytik
Operations Analytics
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Über diesen Kurs
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34,587Kompetenzen, die Sie erwerben
SimulationMathematical OptimizationSolverDecision Tree
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
13 Stunden zum Abschließen
Introduction, Descriptive and Predictive Analytics
In this module you’ll be introduced to the Newsvendor problem, a fundamental operations problem of matching supply with demand in uncertain settings. You'll also cover the foundations of descriptive analytics for operations, learning how to use historical demand data to build forecasts for future demand. Over the week, you’ll be introduced to underlying analytic concepts, such as random variables, descriptive statistics, common forecasting tools, and measures for judging the quality of your forecasts.
5 Videos (Gesamt 145 min), 1 Lektüre, 1 Quiz
5 Videos
The Newsvendor Problem39m
Moving Averages41m
Trends, Seasonality47m
Week 1 Wrap-up, Apparel Industry14m
1 Lektüre
Excel Files, Slides and Practice Problems10m
1 praktische Übung
Newsvendor and Forecasting Quiz20m
Woche
22 Stunden zum Abschließen
Prescriptive Analytics, Low Uncertainty
In this module, you'll learn how to identify the best decisions in settings with low uncertainty by building optimization models and applying them to specific business challenges. During the week, you’ll use algebraic formulations to concisely express optimization problems, look at how algebraic models should be converted into a spreadsheet format, and learn how to use spreadsheet Solvers as tools for identifying the best course of action.
6 Videos (Gesamt 96 min), 1 Lektüre, 1 Quiz
6 Videos
Optimizing with Solver31m
Network Optimization Example20m
(Optional) Week 2 Review20m
(Optional) Solver on Mac3m
(Optional) Solver in Google Sheets4m
1 Lektüre
Excel Files, Slides, and Practice Problems10m
1 praktische Übung
Decisions with Low Uncertainty Quiz20m
Woche
32 Stunden zum Abschließen
Predictive Analytics, Risk
How can you evaluate and compare decisions when their impact is uncertain? In this module you will learn how to build and interpret simulation models that can help you to evaluate complex business decisions in uncertain settings. During the week, you will be introduced to some common measures of risk and reward, you’ll use simulation to estimate these quantities, and you’ll learn how to interpret and visualize your simulation results.
4 Videos (Gesamt 85 min), 1 Lektüre, 1 Quiz
4 Videos
Simulating Uncertain Outcomes in Excel24m
Interpreting and Visualizing Simulation Output31m
(Optional) Week 3 Review15m
1 Lektüre
Excel file, Slides, Practice Problems10m
1 praktische Übung
Risk and Evaluation Quiz20m
Woche
43 Stunden zum Abschließen
Prescriptive Analytics, High Uncertainty
This module introduces decision trees, a useful tool for evaluating decisions made under uncertainty. Using a concrete example, you'll learn how optimization, simulation, and decision trees can be used together to solve more complex business problems with high degrees of uncertainty. You'll also discover how the Newsvendor problem introduced in Week 1 can be solved with the simulation and optimization framework introduced in Weeks 2 and 3.
6 Videos (Gesamt 133 min), 1 Lektüre, 1 Quiz
6 Videos
Using Simulation with Decision Trees25m
Using Optimization Together with Simulation16m
Week 4 Wrap-up15m
(Optional) Session 4 Review21m
(Optional) Advanced Session on Optimization28m
1 Lektüre
Excel files, Slides, and Practice Problems10m
1 praktische Übung
Decision Tree Analysis Quiz20m
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Top-Bewertungen
This module is really good for those of us who need to plan strategically ahead. It helps answer a lot of questions that business leaders will grapple with as they try to look ahead in the business.
This course was a definite improvement from the Customer Analytics course. All three instructors were on point. A special mention for you Sergei. Your portions were the most fun to explore. Thanks.
Dozenten
Senthil Veeraraghavan
Associate Professor of Operations, Information and DecisionsThe Wharton School
Sergei Savin
Associate Professor of Operations, Information and DecisionsThe Wharton School
Noah Gans
Anheuser-Busch Professor of Management Science, Professor of Operations, Information and DecisionsThe 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 Unternehmensanalytik
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.
Häufig gestellte Fragen
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Sobald Sie sich für ein Zertifikat angemeldet haben, haben Sie Zugriff auf alle Videos, Quizspiele und Programmieraufgaben (falls zutreffend). Aufgaben, die von anderen Kursteilnehmern bewertet werden, können erst dann eingereicht und überprüft werden, wenn Ihr Unterricht begonnen hat. Wenn Sie sich den Kurs anschauen möchten, ohne ihn zu kaufen, können Sie womöglich auf bestimmte Aufgaben nicht zugreifen.
Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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