UPenn - Accounting Analytics
3.0 /5- Offered byCoursera
Accounting Analytics at Coursera Overview
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Accounting Analytics at Coursera Highlights
- Practice Quizzes, Assignments, Videos & Readings
- Flexible Schedule- Set and maintain flexible deadlines.
- Offered by Wharton Online
- Earn a Certificate on successful completion
Accounting Analytics at Coursera Course details
- Authors
- Accountants
- Finanical Analysts
- Earn a Certificate that you can share with prospective employers and your professional network.
- Every Specialization includes a hands-on project
- Shareable Specialization and Course Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
- 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.
Accounting Analytics at Coursera Curriculum
Ratios and Forecasting
Module 1 Overview
Review of Financial Statements (Optional)
Sources for Financial Statement Information (Optional)
Ratio Analysis: Case Overview
Ratio Analysis: Dupont Analysis
Ratio Analysis: Profitability and Turnover Ratios
Ratio Analysis: Liquidity Ratios
Forecasting
Accounting-based Valuation (Optional)
Earnings Management
Module Overview: Earnings Management
Overview of Earnings Management
Revenue Recognition Red Flags: Revenue Before Cash Collection
Revenue Recognition Red Flags: Revenue After Cash Collection
Expense Recognition Red Flags: Capitalizing vs. Expensing
Expense Recognition Red Flags: Reserve Accounts and Write-Offs
Big Data and Prediction Models
Module 3 Overview
Discretionary Accruals: Model
Discretionary Accruals: Cases
Discretionary Expenditures: Models
Discretionary Expenditures: Refinements and Cases
Fraud Prediction Models
Benford's Law
Linking Non-financial Metrics to Financial Performance
Introduction: Connecting Numbers to Non-financial Performance Measures
Linking Non-financial Metrics to Financial Performance: Overview
Steps to Linking Non-financial Metrics to Financial Performance
Setting Targets
Comprehensive Examples
Incorporating Analysis Results in Financial Models
Using Analytics to Choose Action Plans
Organizational Issues
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