このコースについて
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次における5の2コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約12時間で修了

推奨:4 weeks of study, 2-3 hours/week...

英語

字幕:英語, 中国語(簡体)

習得するスキル

SimulationMathematical OptimizationSolverDecision Tree

次における5の2コース

100%オンライン

自分のスケジュールですぐに学習を始めてください。

柔軟性のある期限

スケジュールに従って期限をリセットします。

約12時間で修了

推奨:4 weeks of study, 2-3 hours/week...

英語

字幕:英語, 中国語(簡体)

シラバス - 本コースの学習内容

1
3時間で修了

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件のビデオ (合計145分), 1 reading, 1 quiz
5件のビデオ
The Newsvendor Problem39 分
Moving Averages41 分
Trends, Seasonality47 分
Week 1 Wrap-up, Apparel Industry14 分
1件の学習用教材
Excel Files, Slides and Practice Problems10 分
1の練習問題
Newsvendor and Forecasting Quiz20 分
2
2時間で修了

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件のビデオ (合計96分), 1 reading, 1 quiz
6件のビデオ
Optimizing with Solver31 分
Network Optimization Example20 分
(Optional) Week 2 Review20 分
(Optional) Solver on Mac3 分
(Optional) Solver in Google Sheets4 分
1件の学習用教材
Excel Files, Slides, and Practice Problems10 分
1の練習問題
Decisions with Low Uncertainty Quiz20 分
3
2時間で修了

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件のビデオ (合計85分), 1 reading, 1 quiz
4件のビデオ
Simulating Uncertain Outcomes in Excel24 分
Interpreting and Visualizing Simulation Output31 分
(Optional) Week 3 Review15 分
1件の学習用教材
Excel file, Slides, Practice Problems10 分
1の練習問題
Risk and Evaluation Quiz20 分
4
3時間で修了

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件のビデオ (合計133分), 1 reading, 1 quiz
6件のビデオ
Using Simulation with Decision Trees25 分
Using Optimization Together with Simulation16 分
Week 4 Wrap-up15 分
(Optional) Session 4 Review21 分
(Optional) Advanced Session on Optimization28 分
1件の学習用教材
Excel files, Slides, and Practice Problems10 分
1の練習問題
Decision Tree Analysis Quiz20 分
4.7
571件のレビューChevron Right

38%

コース終了後に新しいキャリアをスタートした

46%

コースが具体的なキャリアアップにつながった

16%

昇給や昇進につながった

人気のレビュー

by JHAug 12th 2016

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.

by SGFeb 21st 2016

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.

講師

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Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School
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Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School
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Noah Gans

Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions
The Wharton School

ペンシルベニア大学(University of Pennsylvania)について

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. ...

ビジネス分析の専門講座について

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....
ビジネス分析

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