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Accounting Analytics

Master financial data analysis through predictive modeling and performance metrics. Essential for business decisions.

Master financial data analysis through predictive modeling and performance metrics. Essential for business decisions.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.5

(2,979 ratings)

1,12,560 already enrolled

English

پښتو, বাংলা, اردو, 4 more

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Accounting Analytics

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Analyze financial statements using ratio analysis

  • Detect earnings management and fraud patterns

  • Apply big data models for financial prediction

  • Link non-financial metrics to performance

  • Develop strategic forecasting capabilities

Skills you'll gain

Accounting
Analytics
Financial Analysis
Ratio Analysis
Earnings Management
Predictive Modeling
Big Data Analysis
Performance Metrics
Financial Forecasting
Risk Assessment

This course includes:

6.4 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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There are 4 modules in this course

This comprehensive course explores how financial statement data and non-financial metrics link to business performance. Students learn advanced techniques in ratio analysis, earnings management detection, and predictive modeling using big data approaches. The curriculum covers financial forecasting, fraud detection methods, and the integration of non-financial metrics into performance analysis. Through practical examples and hands-on assignments, participants develop skills in using accounting analytics to drive strategic business decisions.

Ratios and Forecasting

Module 1 · 2 Hours to complete

Earnings Management

Module 2 · 2 Hours to complete

Big Data and Prediction Models

Module 3 · 2 Hours to complete

Linking Non-financial Metrics to Financial Performance

Module 4 · 2 Hours to complete

Fee Structure

Instructors

 Brian J Bushee
Brian J Bushee

4.8 rating

1,058 Reviews

4,62,896 Students

5 Courses

The Geoffrey T. Boisi Professor

Brian J. Bushee is the Geoffrey T. Boisi Professor of Accounting at The Wharton School of the University of Pennsylvania, where he has been a faculty member since 2000. His research primarily focuses on the influence of information intermediaries—such as institutional investors, sell-side analysts, and the business press—on corporate disclosure decisions and the stock market pricing of information. Prior to joining Wharton, he served as an Assistant Professor at Harvard Business School and held a Visiting Assistant Professor position at the University of Chicago. He has also worked as a Senior Credit Analyst for CoreStates Financial Corp. and as a National Office Researcher for Coopers and Lybrand L.L.P.Professor Bushee teaches courses including "Accounting Analytics" and "Introduction to Financial Accounting," and has received numerous accolades for his teaching excellence, including the MBA Excellence in Teaching Award and the Helen Kardon Moss Anvil Award. He earned his Ph.D. from the University of Michigan and holds an A.B. from Duke University. His work has been published in top-tier academic journals, and he is actively involved in editorial activities for several prominent publications in accounting and finance. Through his research and teaching, Brian Bushee significantly contributes to the fields of accounting and financial reporting, shaping future leaders in these areas.

Christopher D. Ittner
Christopher D. Ittner

4.6 rating

215 Reviews

1,51,156 Students

2 Courses

EY Professor of Accounting

Christopher D. Ittner is the EY Professor of Accounting at The Wharton School, University of Pennsylvania. His research focuses on the design, implementation, and performance consequences of performance measurement and cost management systems. Professor Ittner has published extensively in prestigious journals, including the Harvard Business Review and leading academic outlets in accounting, marketing, and operations management. He has received notable recognition for his work on the relationship between customer satisfaction measures and financial performance, earning the American Accounting Association’s Notable Contribution to Management Accounting Literature Award.At Wharton, Professor Ittner teaches courses such as "Management Accounting" for MBA students and runs doctoral courses in management accounting for students from across the United States and Europe. He is also involved in executive education programs focusing on cost accounting and marketing metrics. His dedication to teaching excellence has been recognized with several awards, including multiple MBA teaching awards. Ittner holds a Ph.D. from the University of Michigan and an A.B. from Duke University, bringing a wealth of knowledge and experience to his role in shaping future leaders in accounting and finance.

Accounting Analytics

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

2,979 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.