Business and Financial Modeling Specialization

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.
- Create your own quantitative models
- Harness the power of spreadsheets to map and predict data
- Understand the measurement and management of risk
- Structure your decision-making for optimum results

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Modeling Risk and Realities (Coursera)

Useful quantitative models help you to make informed decisions both in situations in which the factors affecting your decision are clear, as well as in situations in which some important factors are not clear at all. In this course, you can learn how to create quantitative models to reflect [...]
Average: 3 ( 3 votes )

Fundamentals of Quantitative Modeling (Coursera)

How can you put data to work for you? Specifically, how can numbers in a spreadsheet tell us about present and past business activities, and how can we use them to forecast the future? The answer is in building quantitative models, and this course is designed to help you [...]
Average: 2 ( 3 votes )

Decision-Making and Scenarios (Coursera)

This course is designed to show you how use quantitative models to transform data into better business decisions. You’ll learn both how to use models to facilitate decision-making and also how to structure decision-making for optimum results. Two of Wharton’s most acclaimed professors will show you the step-by-step processes [...]
Average: 1 ( 3 votes )

Introduction to Spreadsheets and Models (Coursera)

The simple spreadsheet is one of the most powerful data analysis tools that exists, and it’s available to almost anyone. Major corporations and small businesses alike use spreadsheet models to determine where key measures of their success are now, and where they are likely to be in the future. [...]
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