Financial ModelingMicrosoft ExcelSimulationLinear Programming (LP)ModelingLinear RegressionProbabilistic ModelsRegression AnalysisMonte Carlo MethodSolverRiskCash Flow
Programa especializado: Business and Financial Modeling
Build Business and Financial Models. Use spreadsheet models to make data-driven financial decisions
49,158 ya inscrito
ofrecido por
Programa especializado: Business and Financial ModelingUniversidad de PensilvaniaQué aprenderás
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
Habilidades que obtendrás
Acerca de este Programa Especializado
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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.
Resultados profesionales del estudiante
44%
Comenzaste una nueva carrera profesional después de completar este programa especializado.
22%
Conseguiste un aumento de sueldo o ascenso.
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel principiante
No se requiere experiencia previa.
Aprox. 6 meses para completar
Sugerido 2 horas/semana
Inglés (English)
Subtítulos: Inglés (English), Ruso (Russian), Portugués (de Brasil)
Resultados profesionales del estudiante
44%
Comenzaste una nueva carrera profesional después de completar este programa especializado.
22%
Conseguiste un aumento de sueldo o ascenso.
Certificado para compartir
Obtén un certificado al finalizar
Cursos 100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Cronograma flexible
Establece y mantén fechas de entrega flexibles.
Nivel principiante
No se requiere experiencia previa.
Aprox. 6 meses para completar
Sugerido 2 horas/semana
Inglés (English)
Subtítulos: Inglés (English), Ruso (Russian), Portugués (de Brasil)
Hay 5 cursos en este Programa Especializado
Fundamentals of Quantitative Modeling
6,108 calificaciones
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 understand the fundamentals of this critical, foundational, business skill. Through a series of short lectures, demonstrations, and assignments, you’ll learn the key ideas and process of quantitative modeling so that you can begin to create your own models for your own business or enterprise. By the end of this course, you will have seen a variety of practical commonly used quantitative models as well as the building blocks that will allow you to start structuring your own models. These building blocks will be put to use in the other courses in this Specialization.
Introduction to Spreadsheets and Models
3,058 calificaciones
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.
Modeling Risk and Realities
1,909 calificaciones
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 complex realities, and how to include in your model elements of risk and uncertainty. You’ll also learn the methods for creating predictive models for identifying optimal choices; and how those choices change in response to changes in the model’s assumptions. You’ll also learn the basics of the measurement and management of risk. By the end of this course, you’ll be able to build your own models with your own data, so that you can begin making data-informed decisions. You’ll also be prepared for the next course in the Specialization.
Decision-Making and Scenarios
1,495 calificaciones
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 of modeling common business and financial scenarios, so you can significantly improve your ability to structure complex problems and derive useful insights about alternatives. Once you’ve created models of existing realities, possible risks, and alternative scenarios, you can determine the best solution for your business or enterprise, using the decision-making tools and techniques you’ve learned in this course.
ofrecido por
Universidad de Pensilvania
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.
Preguntas Frecuentes
¿Recibiré crédito universitario por completar el programa especializado?
Esta Especialización no otorga crédito universitario, pero algunas universidades pueden aceptar los Certificados de especializaciones para obtener crédito. Consulta con tu institución para obtener más información. Los Títulos en línea y los Certificados Mastertrack™ de Coursera brindan la oportunidad de obtener créditos universitarios.
Can I just enroll in a single course?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.
¿Puedo inscribirme en un solo curso?
¡Sí! Para empezar, haz clic en la tarjeta del curso que te interesa e inscríbete. Puedes inscribirte y completar el curso para obtener un certificado que puedes compartir o puedes acceder al curso como oyente para ver los materiales del curso de manera gratuita. Cuando cancelas la suscripción de un curso que forma parte de un programa especializado, se cancela automáticamente la suscripción de todo el programa especializado. Visita el panel del estudiante para realizar un seguimiento de tu progreso.
Can I take the course for free?
Sí, Coursera ofrece ayuda económica a los estudiantes que no pueden pagar la tarifa. Solicítala haciendo clic en el enlace de Ayuda económica que está debajo del botón “Inscribirse” a la izquierda. Se te pedirá que completes una solicitud. Recibirás una notificación en caso de que se apruebe. Deberás completar este paso para cada uno de los cursos que forman parte del Programa especializado, incluido el proyecto final. Obtén más información.
¿Puedo tomar este curso de manera gratuita?
Cuando te inscribes en el curso, tienes acceso a todos los cursos del programa especializado y obtienes un certificado cuando completas el trabajo. Si solo deseas leer y ver el contenido del curso, puedes participar del curso como oyente de manera gratuita. Si no puedes pagar la tarifa, puedes solicitar ayuda económica.
¿Este curso es 100 % en línea? ¿Necesito asistir a alguna clase en persona?
Este curso es completamente en línea, de modo que no necesitas ir a un aula en persona. Puedes acceder a tus lecciones, lecturas y tareas en cualquier momento y cualquier lugar a través de Internet o tu dispositivo móvil.
¿Cuánto tiempo se necesita para completar un programa especializado?
Each course in the Specialization is offered at least once every month, although they may be offered more frequently.
¿Con qué frecuencia se ofrece cada curso del programa especializado?
No specific background is required—this Specialization is ideal for employees, entrepreneurs, managers, consultants, or anyone aiming to hone their spreadsheet and modeling skills. Knowledge of high-school level math (through pre-calculus) is suggested.
Do I need to take the courses in a specific order?
Although you can take the courses in this Specialization in any order, we do recommend that you follow the suggested sequence of courses (Introduction to Spreadsheets, Fundamentals of Quantitative Modeling, Modeling Risk and Realities, Decision Making and Scenarios), especially if you are new to the study of spreadsheets and modeling.
Will I earn university credit for completing the Specialization?
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.
¿Recibiré crédito universitario por completar el programa especializado?
In this Specialization, you’ll learn both how spreadsheets work and how they may be used to build scenarios, predict performance, and inform decision-making. At the end of Wharton’s Business and Financial Modeling Specialization, you’ll be able to use spreadsheets to create basic business models that optimize and predict outcomes, so that you can make decisions for your business based on data. You can use this knowledge to transition to a new career, improve your own business, or apply to business school to continue your education.
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