University of Pennsylvania
Introduction to Spreadsheets and Models
University of Pennsylvania

Introduction to Spreadsheets and Models

This course is part of multiple programs.

Taught in English

Some content may not be translated

Don Huesman

Instructor: Don Huesman

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Course

Gain insight into a topic and learn the fundamentals

4.2

(3,751 reviews)

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81%

5 hours (approximately)
Flexible schedule
Learn at your own pace

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Assessments

4 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.2

(3,751 reviews)

|

81%

5 hours (approximately)
Flexible schedule
Learn at your own pace

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There are 4 modules in this course

This module was designed to introduce you to the history of spreadsheets, their basic capabilities, and how they can be used to create models. You'll learn the different types of data used in spreadsheets, spreadsheet notations for mathematical operations, common built-in formulas and functions, conditional expressions, relative and absolute references, and how to identify and correct circular references. By the end of this module, you'll understand the context of spreadsheets, be able to navigate a spreadsheet, use built-in formulas and functions in spreadsheets, create your own simple formulas, and identify and correct common errors so you can put spreadsheets to work for you.

What's included

6 videos2 readings1 quiz

In this module, you'll move from spreadsheet to model, so you can begin to create your own models that reflect real-world events. You'll learn how to organize and lay out model elements, as well as the types of objective functions and their use. You'll also learn what-if analysis and scenarios, sensitivity analysis, and other classic models. By the end of this module, you'll be able to design a spreadsheet reflecting assumptions, decision variables, and outcomes, create a basic cashflow model, evaluate a small business opportunity, conduct what-if analysis, identify key variables using sensitivity analysis, and linear programming models and deterministic models.

What's included

6 videos2 readings1 quiz

This module was designed to introduce you to how you can use spreadsheets to address uncertainty and probability. You'll learn about random variables, probability distributions, power, exponential, and log functions in model formulas, models for calculating probability trees and decision trees, how to use regression tools to make predictions, as well as multiple regression. By the end of this module, you'll be able to measure correlations between variables using spreadsheet statistical functions, understand the results of functions that calculate correlations, use regression tools to make predictions, and improve forecasts with multiple regression.

What's included

6 videos3 readings1 quiz

In this module, you'll learn to use spreadsheets to implement Monte Carlo simulations as well as linear programs for optimization. You'll examine the purpose of Monte Carlo simulations, how to implement Monte Carlo simulations in spreadsheets, the types of problems you can address with linear programs and how to implement those linear programs in spreadsheets. By the end of this module, you'll be able to model uncertainty and risk in spreadsheets, and use Excel's solver to optimize resources to reach a desired outcome. You'll also be able to identify the similarities and differences between Excel and Sheets, and be prepared for the next course in the Business and Financial Modeling Specialization.

What's included

4 videos3 readings1 quiz

Instructor

Instructor ratings
4.0 (259 ratings)
Don Huesman
University of Pennsylvania
2 Courses114,243 learners

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