Course Summary
This course teaches students how to use data analytics to make better financial decisions, including budgeting, forecasting, and trend analysis. Students will learn to use accounting data to create financial models and dashboards, and apply these tools to real-world business scenarios.Key Learning Points
- Learn how to use data analytics to improve financial decision-making
- Create financial models and dashboards using accounting data
- Apply data analytics tools to real-world business scenarios
Related Topics for further study
Learning Outcomes
- Create financial models using accounting data
- Use data analytics to make better financial decisions
- Apply data analytics tools to real-world business scenarios
Prerequisites or good to have knowledge before taking this course
- Basic accounting knowledge
- Familiarity with Excel
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Financial Accounting Fundamentals
- Business Analytics Fundamentals
- Data Analysis and Presentation Skills
Related Education Paths
Notable People in This Field
- Ken Fick
- Roberto Roldán
Related Books
Description
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.
Outline
- Ratios and Forecasting
- Module 1 Overview 1.0
- Review of Financial Statements (Optional) 1.1
- Sources for Financial Statement Information (Optional) 1.2
- Ratio Analysis: Case Overview 1.3
- Ratio Analysis: Dupont Analysis 1.4
- Ratio Analysis: Profitability and Turnover Ratios 1.5
- Ratio Analysis: Liquidity Ratios 1.6
- Forecasting 1.7
- Accounting-based Valuation (Optional) 1.8
- PDF of Lecture Slides
- Excel Files for Ratio Analysis
- Ratio Analysis and Forecasting Quiz
- Earnings Management
- Module Overview: Earnings Management 2.0
- Overview of Earnings Management 2.1
- Revenue Recognition Red Flags: Revenue Before Cash Collection 2.2
- Revenue Recognition Red Flags: Revenue After Cash Collection 2.3
- Expense Recognition Red Flags: Capitalizing vs. Expensing 2.4
- Expense Recognition Red Flags: Reserve Accounts and Write-Offs 2.5
- PDFs of Lecture Slides
- Excel Files for Earnings Management
- Earnings Management
- Big Data and Prediction Models
- Module 3 Overview 3.0
- Discretionary Accruals: Model 3.1
- Discretionary Accruals: Cases 3.2
- Discretionary Expenditures: Models 3.3
- Discretionary Expenditures: Refinements and Cases 3.4
- Fraud Prediction Models 3.5
- Benford's Law 3.6
- PDFs of Lecture Slides
- Excel Files for Big Data and Prediction Models
- Big Data and Prediction Models
- Linking Non-financial Metrics to Financial Performance
- Introduction: Connecting Numbers to Non-financial Performance Measures 4.0
- Linking Non-financial Metrics to Financial Performance: Overview 4.1
- Steps to Linking Non-financial Metrics to Financial Performance 4.2
- Setting Targets 4.3
- Comprehensive Examples 4.4
- Incorporating Analysis Results in Financial Models 4.5
- Using Analytics to Choose Action Plans 4.6
- Organizational Issues 4.7
- PDF of Lecture Slides
- Expected Economic Value Spreadsheet
- Linking Non-financial Metrics to Financial Performance
Summary of User Reviews
Discover the power of accounting analytics with this Coursera course. Students give high praise for the course's comprehensive coverage, practical applications, and engaging instructors.Key Aspect Users Liked About This Course
The practical applications of the course material are highly valued by many users.Pros from User Reviews
- Comprehensive coverage of accounting analytics
- Engaging and knowledgeable instructors
- Real-world examples and practical applications
- Flexible schedule and self-paced learning options
Cons from User Reviews
- Some users found the course material to be too basic
- Lack of interaction with instructors or other students
- Limited opportunities for hands-on practice
- Some technical issues with the course platform
Brian J Bushee
4.5 Raiting
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