課程信息
4.7
2,456 ratings
484 reviews
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....
Stacks

Course 2 of 5 in the

Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:4 weeks of study, 2-3 hours/week

完成時間大約為11 小時
Comment Dots

English

字幕:English, Chinese (Simplified)

您將獲得的技能

SimulationMathematical OptimizationSolverDecision Tree
Stacks

Course 2 of 5 in the

Globe

100% 在線課程

立即開始,按照自己的計劃學習。
Calendar

可靈活調整截止日期

根據您的日程表重置截止日期。
Clock

建議:4 weeks of study, 2-3 hours/week

完成時間大約為11 小時
Comment Dots

English

字幕:English, Chinese (Simplified)

教學大綱 - 您將從這門課程中學到什麼

1

章節
Clock
完成時間為 3 小時

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....
Reading
5 個視頻(共 145 分鐘), 1 個閱讀材料, 1 個測驗
Video5 個視頻
The Newsvendor Problem39分鐘
Moving Averages41分鐘
Trends, Seasonality47分鐘
Week 1 Wrap-up, Apparel Industry14分鐘
Reading1 個閱讀材料
Excel Files, Slides and Practice Problems10分鐘
Quiz1 個練習
Newsvendor and Forecasting Quiz20分鐘

2

章節
Clock
完成時間為 2 小時

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. ...
Reading
6 個視頻(共 96 分鐘), 1 個閱讀材料, 1 個測驗
Video6 個視頻
Optimizing with Solver31分鐘
Network Optimization Example20分鐘
(Optional) Week 2 Review20分鐘
(Optional) Solver on Mac3分鐘
(Optional) Solver in Google Sheets4分鐘
Reading1 個閱讀材料
Excel Files, Slides, and Practice Problems10分鐘
Quiz1 個練習
Decisions with Low Uncertainty Quiz20分鐘

3

章節
Clock
完成時間為 2 小時

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....
Reading
4 個視頻(共 85 分鐘), 1 個閱讀材料, 1 個測驗
Video4 個視頻
Simulating Uncertain Outcomes in Excel24分鐘
Interpreting and Visualizing Simulation Output31分鐘
(Optional) Week 3 Review15分鐘
Reading1 個閱讀材料
Excel file, Slides, Practice Problems10分鐘
Quiz1 個練習
Risk and Evaluation Quiz20分鐘

4

章節
Clock
完成時間為 3 小時

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....
Reading
6 個視頻(共 133 分鐘), 1 個閱讀材料, 1 個測驗
Video6 個視頻
Using Simulation with Decision Trees25分鐘
Using Optimization Together with Simulation16分鐘
Week 4 Wrap-up15分鐘
(Optional) Session 4 Review21分鐘
(Optional) Advanced Session on Optimization28分鐘
Reading1 個閱讀材料
Excel files, Slides, and Practice Problems10分鐘
Quiz1 個練習
Decision Tree Analysis Quiz20分鐘
4.7
Direction Signs

25%

完成這些課程後已開始新的職業生涯
Briefcase

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 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.

創建者 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

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions
The Wharton School

Sergei Savin

Associate Professor of Operations, Information and Decisions
The Wharton School

Noah Gans

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

關於 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. ...

關於 Business Analytics 專項課程

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....
Business Analytics

常見問題

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

還有其他問題嗎?請訪問 學生幫助中心