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.
Ce cours fait partie de la Spécialisation Business Analytics
Operations Analytics
proposé par
À propos de ce cours
4.7
2,982 notes
Compétences que vous acquerrez
SimulationMathematical OptimizationSolverDecision Tree
Programme du cours : ce que vous apprendrez dans ce cours
Semaine
13 heures pour terminer
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 vidéos (Total 145 min), 1 lecture, 1 quiz
5 vidéos
The Newsvendor Problem39 min
Moving Averages41 min
Trends, Seasonality47 min
Week 1 Wrap-up, Apparel Industry14 min
1 lecture
Excel Files, Slides and Practice Problems10 min
1 exercice pour s'entraîner
Newsvendor and Forecasting Quiz20 min
Semaine
22 heures pour terminer
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 vidéos (Total 96 min), 1 lecture, 1 quiz
6 vidéos
Optimizing with Solver31 min
Network Optimization Example20 min
(Optional) Week 2 Review20 min
(Optional) Solver on Mac3 min
(Optional) Solver in Google Sheets4 min
1 lecture
Excel Files, Slides, and Practice Problems10 min
1 exercice pour s'entraîner
Decisions with Low Uncertainty Quiz20 min
Semaine
32 heures pour terminer
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 vidéos (Total 85 min), 1 lecture, 1 quiz
4 vidéos
Simulating Uncertain Outcomes in Excel24 min
Interpreting and Visualizing Simulation Output31 min
(Optional) Week 3 Review15 min
1 lecture
Excel file, Slides, Practice Problems10 min
1 exercice pour s'entraîner
Risk and Evaluation Quiz20 min
Semaine
43 heures pour terminer
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 vidéos (Total 133 min), 1 lecture, 1 quiz
6 vidéos
Decision Trees26 min
Using Simulation with Decision Trees25 min
Using Optimization Together with Simulation16 min
Week 4 Wrap-up15 min
(Optional) Session 4 Review21 min
(Optional) Advanced Session on Optimization28 min
1 lecture
Excel files, Slides, and Practice Problems10 min
1 exercice pour s'entraîner
Decision Tree Analysis Quiz20 min
4.7
563 avis38%
a commencé une nouvelle carrière après avoir terminé ces cours
46%
a bénéficié d'un avantage concret dans sa carrière grâce à ce cours
16%
a obtenu une augmentation de salaire ou une promotion
Meilleurs avis
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.
Enseignants
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
À propos de Université de Pennsylvanie
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 Analytics
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.
Foire Aux Questions
Quand aurai-je accès aux vidéos de cours et aux devoirs ?
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.
À quoi ai-je droit si je m'abonne à cette Spécialisation ?
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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