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. But in order to get the most out of a spreadsheet, you have the know-how to use it. This course is designed to give you an introduction to basic spreadsheet tools and formulas so that you can begin harness the power of spreadsheets to map the data you have now and to predict the data you may have in the future. Through short, easy-to-follow demonstrations, you’ll learn how to use Excel or Sheets so that you can begin to build models and decision trees in future courses in this Specialization.
Basic familiarity with, and access to, Excel or Sheets is required.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Business and Financial Modeling
Introduction to Spreadsheets and Models
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Über diesen Kurs
4.2
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Kompetenzen, die Sie erwerben
Monte Carlo MethodMicrosoft ExcelLinear Programming (LP)Solver
Lehrplan - Was Sie in diesem Kurs lernen werden
Woche
11 Stunde zum Abschließen
Spreadsheets: A Tool for Thinking with Numbers
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.
6 Videos (Gesamt 42 min), 2 Lektüren, 1 Quiz
6 Videos
1.2 Navigating a spreadsheet and crafting formulas19m
1.3 Using functions4m
1.4 Using conditional expressions in formulas4m
1.5 Common errors in spreadsheets4m
1.6 Differences between Sheets and Excel4m
2 Lektüren
PDF of Module 1 Lecture Slides10m
Module 1 examples10m
1 praktische Übung
Module 1 Quiz: History, Formulas, Functions and Errors20m
Woche
21 Stunde zum Abschließen
From Spreadsheet to Model
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.
6 Videos (Gesamt 23 min), 2 Lektüren, 1 Quiz
6 Videos
2.1 Using assumptions and decision variables in spreadsheet models2m
2.2 Structuring a spreadsheet to model variables, objectives, and objective functions2m
2.3 Constructing simple cashflow model4m
2.4 What-if analysis and sensitivity analysis4m
2.5 Limits to simple, deterministic models5m
2 Lektüren
PDF of Module 2 Lecture Slides10m
Module 2 examples10m
1 praktische Übung
Module 2 Quiz: Classic Models20m
Woche
32 Stunden zum Abschließen
Addressing Uncertainty and Probability in Models
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.
6 Videos (Gesamt 40 min), 3 Lektüren, 1 Quiz
6 Videos
3.1 Random variables and probability distributions11m
3.2 Changes in discrete and continuous time5m
3.3 Power, exponential, and log functions8m
3.4 Probability trees and decision trees5m
3.5 Correlation and Regression7m
3 Lektüren
PDF of Module 3 Lecture Slides10m
Module 3 examples10m
Additional reading on exponential and other functions10m
1 praktische Übung
Module 3 Quiz: Probability, Correlation, and Regression20m
Woche
41 Stunde zum Abschließen
Simulation and Optimization
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.
4 Videos (Gesamt 34 min), 3 Lektüren, 1 Quiz
4 Videos
4.1 Monte Carlo Simulations13m
4.2 Linear Programming9m
4.3 Next Steps, and Differences between Excel and Sheets7m
3 Lektüren
PDF of Module 4 Lecture Slides10m
Module 4 examples10m
Links and other resources for further study10m
1 praktische Übung
Module 4 Quiz: Simulations, Scenarios, and Optimization20m
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ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
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Top-Bewertungen
This course has made me understand cost accounting, has provided a fresh perspective on how to solve some of the challenges i had with management accounting and as a bonus, made me love maths again :)
So many tools that I knew existed and have tried to use the How-To's to learn how they work and until the Prof takes you through them one-at-a-time, they never make sense. Great Stuff!
Dozent
Don Huesman
Managing Director, Wharton OnlineInnovation Group- Wharton School
Über University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
Über die Spezialisierung Business and Financial Modeling
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.
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Was bekomme ich, wenn ich diese Spezialisierung abonniere?
Wenn Sie sich für den Kurs anmelden, erhalten Sie Zugriff auf alle Kurse der Spezialisierung und Sie erhalten nach Abschluss aller Arbeiten ein Zertifikat. Ihr elektronisches Zertifikat wird zu Ihrer Seite „Errungenschaften“ hinzugefügt – von dort können Sie Ihr Zertifikat ausdrucken oder es zu Ihrem LinkedIn Profil hinzufügen. Wenn Sie nur lesen und den Inhalt des Kurses anzeigen möchten, können Sie kostenlos als Gast an dem Kurs teilnehmen.
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