University of Pennsylvania

Operations Analytics

This course is part of Business Analytics Specialization

Taught in English

Some content may not be translated

Senthil Veeraraghavan
Sergei Savin
Noah Gans

Instructors: Senthil Veeraraghavan

118,375 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(5,077 reviews)

|

93%

10 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(5,077 reviews)

|

93%

10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Business Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
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There are 4 modules in this course

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.

What's included

5 videos1 reading1 quiz

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.

What's included

6 videos1 reading1 quiz

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.

What's included

4 videos1 reading1 quiz

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.

What's included

6 videos1 reading1 quiz

Instructors

Instructor ratings
4.7 (369 ratings)
Senthil Veeraraghavan
University of Pennsylvania
2 Courses161,900 learners

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