Spécialisation Business Analytics

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.

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 9 hours to complete

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

English

Sous-titres : English, Chinese (Simplified)

Compétences que vous acquerrez

Decision TreeSimulationMathematical OptimizationData Analysis

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 9 hours to complete

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

English

Sous-titres : English, Chinese (Simplified)

Syllabus - What you will learn from this course

1

Section

3 hours to complete

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 videos (Total 145 min), 1 reading, 1 quiz

5 videos

Course Introduction and Welcome1m

The Newsvendor Problem39m

Moving Averages41m

Trends, Seasonality47m

Week 1 Wrap-up, Apparel Industry14m

1 readings

Excel Files, Slides and Practice Problems10m

1 practice exercises

Newsvendor and Forecasting Quiz20m

2

Section

2 hours to complete

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 videos (Total 96 min), 1 reading, 1 quiz

6 videos

How to Build an Optimization Model16m

Optimizing with Solver31m

Network Optimization Example20m

(Optional) Week 2 Review20m

(Optional) Solver on Mac3m

(Optional) Solver in Google Sheets4m

1 readings

Excel Files, Slides, and Practice Problems10m

1 practice exercises

Decisions with Low Uncertainty Quiz20m

3

Section

2 hours to complete

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 videos (Total 85 min), 1 reading, 1 quiz

4 videos

Comparing Decisions in Uncertain Settings13m

Simulating Uncertain Outcomes in Excel24m

Interpreting and Visualizing Simulation Output31m

(Optional) Week 3 Review15m

1 readings

Excel file, Slides, Practice Problems10m

1 practice exercises

Risk and Evaluation Quiz20m

4

Section

3 hours to complete

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 videos (Total 133 min), 1 reading, 1 quiz

6 videos

Decision Trees26m

Using Simulation with Decision Trees25m

Using Optimization Together with Simulation16m

Week 4 Wrap-up15m

(Optional) Session 4 Review21m

(Optional) Advanced Session on Optimization28m

1 readings

Excel files, Slides, and Practice Problems10m

1 practice exercises

Decision Tree Analysis Quiz20m

Instructors

Senthil Veeraraghavan

Associate Professor of Operations, Information and Decisions

Sergei Savin

Associate Professor of Operations, Information and Decisions

Noah Gans

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

About 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. ...

Frequently Asked Questions

When will I have access to the lectures and assignments?
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.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
What is the refund policy?
Is financial aid available?
Yes! Coursera provides financial aid to learners who would like to complete a course but cannot afford the course fee. To apply for aid, select "Learn more and apply" in the Financial Aid section below the "Enroll" button. You'll be prompted to complete a simple application; no other paperwork is required.

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Spécialisation Business Analytics