About this course: Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios. While many accounting and financial organizations deliver data, accounting analytics deploys that data to deliver insight, and this course will explore the many areas in which accounting data provides insight into other business areas including consumer behavior predictions, corporate strategy, risk management, optimization, and more. By the end of this course, you’ll understand how financial data and non-financial data interact to forecast events, optimize operations, and determine strategy. This course has been designed to help you make better business decisions about the emerging roles of accounting analytics, so that you can apply what you’ve learned to make your own business decisions and create strategy using financial data.

Created by: University of Pennsylvania

Taught by: Brian J Bushee, The Geoffrey T. Boisi Professor
Accounting
Taught by: Christopher D. Ittner, EY Professor of Accounting
Accounting

Basic Info	Course 4 of 5 in the Business Analytics Specialization.
Commitment	4 weeks, 3 -5 hours per week
Language	English, Subtitles: Mongolian
How To Pass	Pass all graded assignments to complete the course.
User Ratings	4.4 stars Average User Rating 4.4See what learners said

Syllabus

WEEK 1

Ratios and Forecasting

The topic for this week is ratio analysis and forecasting. Since ratio analysis involves financial statement numbers, I’ve included two optional videos that review financial statements and sources of financial data, in case you need a review. We will do a rati...

9 videos, 2 readings

Graded: Ratio Analysis and Forecasting Quiz

WEEK 2

Earnings Management

This week we are going to examine "earnings management", which is the practice of trying to intentionally bias financial statements to look better than they really should look. Beginning with an overview of earnings management, we’ll cover means, motive, and o...

6 videos, 2 readings

Graded: Earnings Management

WEEK 3

Big Data and Prediction Models

This week, we’ll use big data approaches to try to detect earnings management. Specifically, we're going to use prediction models to try to predict how the financial statements would look if there were no manipulation by the manager. First, we’ll look at Discr...

7 videos, 2 readings

Graded: Big Data and Prediction Models

WEEK 4

Linking Non-financial Metrics to Financial Performance

Linking non-financial metrics to financial performance is one of the most important things we do as managers, and also one of the most difficult. We need to forecast future financial performance, but we have to take non-financial actions to influence it. And w...

8 videos, 2 readings

Graded: Linking Non-financial Metrics to Financial Performance

FAQs

How It Works

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

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Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

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Creators

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.

Pricing

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Access to course materials	Available	Available
Access to graded materials	Not available	Available
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Ratings and Reviews

Rated 4.4 out of 5 of 951 ratings

Great overview of analytic models with case studies.

Really enjoyed Prof. Bushee's lectures. Very innovative and witty with the virtual interactions.

very challenging content

This course provides helpful tools for understanding company's real earnings power. Lectures provide spreadsheets and a step by step guidance on how to use them. I learned that one could use Benford's law to identify data manipulation. Great thanks to Professor Bushee for his talent and passion.

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