Este curso forma parte de Programa especializado: Analytics for Decision Making

4.8
estrellas
40 calificaciones

Soumya Sen

3124 ya inscrito

Ofrecido Por

Programa especializado: Analytics for Decision MakingUniversidad de Minnesota

Acerca de este Curso

7511 vistas recientes

Business analysts need to be able to prescribe optimal solution to problems. But analytics courses are often focused on training students in data analysis and visualization, not so much in helping them figure out how to take the available data and pair that with the right mathematical model to formulate a solution. This course is designed to connect data and models to real world decision-making scenarios in manufacturing, supply chain, finance, human resource management, etc. In particular, we understand how linear optimization - a prescriptive analytics method - can be used to formulate decision problems and provide data-based optimal solutions. Throughout this course we will work on applied problems in different industries, such as:
(a) Finance Decisions: How should an investment manager create an optimal portfolio that maximizes net returns while not taking too much risks across various investments?

(b) Production Decisions: Given projected demand, supply of raw materials, and transportation costs, what would be the optimal volume of products to manufacture at different plant locations?

(c) HR Decisions: How many workers need to be hired or terminated over a planning horizon to minimize cost while meeting operational needs of a company?

(c) Manufacturing: What would be the profit maximizing product mix that should be produced, given the raw material availability and customer demand?

We will learn how to formulate these problems as mathematical models and solve them using Excel spreadsheet.

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100 % en línea

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Curso 3 de 4 en

Programa especializado: Analytics for Decision Making

Nivel principiante

Familiarity with Excel spreadsheets

Aprox. 13 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Habilidades que obtendrás

Analytics
Operations Management
Linear Programming (LP)
Mathematical Optimization

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Curso 3 de 4 en

Programa especializado: Analytics for Decision Making

Nivel principiante

Familiarity with Excel spreadsheets

Aprox. 13 horas para completar

Inglés (English)

¿Podría tu empresa beneficiarse de la capacitación de los empleados en las habilidades más demandadas?

Prueba Coursera para negocios

Instructor

Calificación del instructor

5/5 (8 calificaciones)

Soumya Sen

Associate Professor

Carlson School of Management, Information and Decision Sciences

24.488 alumnos

3 cursos

Ofrecido por

Universidad de Minnesota

The University of Minnesota is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation’s most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

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Programa - Qué aprenderás en este curso

Semana1

Semana 1

4 horas para completar

Module 1: LPs for Financial Decisions

4 horas para completar

14 videos (Total 111 minutos), 1 lectura, 2 cuestionarios

14 videos

"Analytics for Decision Making" Specialization Overview8mMeet Your Instructor: Soumya Sen8m"Advanced Optimization for Decision Making" Course Overview9mModule 1 Overview: LPs for Financial Decisions1mAn Investment Decision Problem5mFormulating an Investment Optimization Problem9mEntering the Investment Optimization Problem in Excel12mFinding the Optimal Investment Strategy7mUnderstanding the Impact of Parameter Changes11mA Multi-Period Cash Flow Decision Problem5mFormulating a Cash Flow Optimization Problem Part 15mFormulating a Cash Flow Optimization Problem Part 28mEntering the Cash Flow Optimization Problem in Excel10mFinding the Optimal Cash Flow5m

1 lectura

Applications of Linear Optimization10m

2 ejercicios de práctica

Module 1 Practice Exercise: Banking Investments Decision1hModule 1 Graded Exercise: Banking Loan Decision1h

Semana2

Semana 2

3 horas para completar

Module 2: LP for Supply Chain Decisions

3 horas para completar

10 videos (Total 53 minutos)

10 videos

Module 2 Overview: LP for Supply Chain Decisions2mA Transportation Decision Problem3mFormulating a Transportation Problem Part 17mFormulating a Transportation Problem Part 25mEntering the Transportation Problem in Excel5mSolving the Transportation Problem3mModel for Production and Inventory Decision Problem5mFormulating an Inventory Planning Problem Part 18mFormulating an Inventory Planning Part 24mEntering the Inventory Planning in Excel 5m

2 ejercicios de práctica

Module 2 Practice Exercise: Army Transportation Decision1hModule 2 Graded Exercise: A Car Manufacturing Decision1h

Semana3

Semana 3

3 horas para completar

Module 3: LP for Staffing Decisions

3 horas para completar

11 videos (Total 67 minutos), 1 lectura, 2 cuestionarios

11 videos

Module 3 Overview: LP for Staffing Decisions2mThe Model Setup for Staffing Decision Problem1mFormulating a Staffing Decision Problem Part 15mFormulating a Staffing Decision Problem Part 27mEntering the Problem in Excel5mSolving the Staffing Decision Problem in Excel7mSolving the Inventory Planning Problem9mThe Model Setup for Office Assignment Decisions3mFormulating the Office Assignment Decision Problem10mEntering the Office Assignment Problem in Excel6mSolving the Office Assignment Decision Problem6m

1 lectura

Why Prescriptive Analytics and Decision optimization are Crucial (IBM)10m

2 ejercicios de práctica

Module 3 Practice Exercise: An Amusement Park Staffing Decision1hModule 3 Graded Exercise: An Airline Pilot Staffing Decision1h

Semana4

Semana 4

4 horas para completar

Module 4: LP for Production Decisions

4 horas para completar

11 videos (Total 56 minutos), 3 lecturas, 2 cuestionarios

11 videos

Module 4 Overview: LP for Production Decisions1mThe Model Setup for a Product Mix Problem4mFormulating a Product Mix Optimization Problem11mSetting up the Product Mix problem in Excel6mSolving the Product Mix Optimization Problem6mThe Model Setup for a Blending Optimization Problem4mFormulating a Blending Optimization Problem7mSetting Up the Blending Decision Problem in Excel4mSolving the Blending Optimization Problem4mCongratulations on Finishing the "Advanced Models for Decision Making" Course2mCarlson School of Management: Master of Science Program in Business Analytics (MSBA)2m

3 lecturas

Analytics Trends 2021 and Beyond10mCarlson School of Management: MSBA Program Website10mManagement Information Systems (MIS) Research Center10m

2 ejercicios de práctica

Module 4 Practice Exercise: A Pharmaceutical Company's Decision1hModule 4 Graded Exercise: Electronics Product Mix Decisions1h

Reseñas

4.8

7 reseña

5 stars
82,50 %
4 stars
17,50 %

Principales reseñas sobre ADVANCED MODELS FOR DECISION MAKING

por JH2 de jun. de 2021

All of the courses in this series are very practical based and give a lot of practice in using the tools.

por NR18 de sep. de 2021

The concepts are explained well. The lectures are very detail oriented. I just wish there were more examples to follow.

por CL18 de may. de 2021

Really enjoyed the lesson. Learned application of optimization analytics in various setting.

Ver todas las reseñas

Acerca de Programa especializado: Analytics for Decision Making

The field of analytics is typically built on four pillars: Descriptive Analytics, Predictive Analytics, Causal Analytics, and Prescriptive Analytics. Descriptive analytics (e.g., visualization, BI) deal with the exploration of data for patterns, predictive analytics (e.g., data mining, time-series forecasting) identifies what can happen next, causal modeling establishes causation, and prescriptive analytics help with formulating decisions. This specialization focuses on the Prescriptive Analytics (the final pillar). This specialization will review basic predictive modeling techniques that can be used to estimate values of relevant parameters, and then use optimization and simulation techniques to formulate decisions based on these parameter values and situational constraints. The specialization will teach how to model and solve decision-making problems using predictive models, linear optimization, and simulation methods.

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Advanced Models for Decision Making

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Habilidades que obtendrás