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.
Este curso faz parte do Programa de cursos integrados Análises empresariaisAnálises Empresariais
Análises de operações
oferecido por
Informações sobre o curso
4.7
2,910 classificações
Habilidades que você terá
SimulationMathematical OptimizationSolverDecision Tree
Programa - O que você aprenderá com este curso
Semana
13 horas para concluir
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 vídeos (total de (Total 145 mín.) min), 1 leitura, 1 teste
5 videos
The Newsvendor Problem39min
Moving Averages41min
Trends, Seasonality47min
Week 1 Wrap-up, Apparel Industry14min
1 leituras
Excel Files, Slides and Practice Problems10min
1 exercício prático
Newsvendor and Forecasting Quiz20min
Semana
22 horas para concluir
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 vídeos (total de (Total 96 mín.) min), 1 leitura, 1 teste
6 videos
Optimizing with Solver31min
Network Optimization Example20min
(Optional) Week 2 Review20min
(Optional) Solver on Mac3min
(Optional) Solver in Google Sheets4min
1 leituras
Excel Files, Slides, and Practice Problems10min
1 exercício prático
Decisions with Low Uncertainty Quiz20min
Semana
32 horas para concluir
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 vídeos (total de (Total 85 mín.) min), 1 leitura, 1 teste
4 videos
Simulating Uncertain Outcomes in Excel24min
Interpreting and Visualizing Simulation Output31min
(Optional) Week 3 Review15min
1 leituras
Excel file, Slides, Practice Problems10min
1 exercício prático
Risk and Evaluation Quiz20min
Semana
43 horas para concluir
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 vídeos (total de (Total 133 mín.) min), 1 leitura, 1 teste
6 videos
Decision Trees26min
Using Simulation with Decision Trees25min
Using Optimization Together with Simulation16min
Week 4 Wrap-up15min
(Optional) Session 4 Review21min
(Optional) Advanced Session on Optimization28min
1 leituras
Excel files, Slides, and Practice Problems10min
1 exercício prático
Decision Tree Analysis Quiz20min
37%
comecei uma nova carreira após concluir estes cursos
46%
consegui um benefício significativo de carreira com este curso
17%
recebi um aumento ou promoção
Melhores avaliações
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.
Instrutores
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
Sobre Universidade da Pensilvânia
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.
Sobre o Programa de cursos integrados Análises empresariaisAnálises Empresariais
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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