Acerca de este Curso

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Fechas límite flexibles

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Aprox. 12 horas para completar

Sugerido: 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 12 horas para completar

Sugerido: 3 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

Marketing Analytics Project Description

This module will define the goals and activities for the marketing analytics capstone project.

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2 readings
2 lecturas
Capstone Overview15m
Pre-Readings30m
Semana
2
4 horas para completar

Exploratory Analysis

In this module, we will begin to examine individual variables and their relationship to the status of the loan. Note, this module includes review items from previous courses in the specialization. This content is not required, but recommended as content to revisit.

...
9 videos (Total 91 minutos), 2 readings, 1 quiz
9 videos
Meaningful Marketing Insights - Course Goals & Example 2: Performing Arts Centers8m
Meaningful Marketing Insights - Organizing Data10m
Meaningful Marketing Insights - The Motion Picture Industry12m
Meaningful Markting Insights - Excel Analysis of Motion Picture Industry Data13m
Meaningful Marketing Insights - Displaying Conditional Distributions4m
Meaningful Marketing Insights - Analyzing Qualitative Variables3m
Meaningful Marketing Insights - Steps in Constructing Histograms11m
Meaningful Marketing Insights - Common Descriptive Statistics for Quantitative Data14m
2 lecturas
Activity & Explanation of Review Content45m
Meaningful Marketing Insights - Parts 2 - 340m
Semana
3
2 horas para completar

Data Preparation and Model Building

While there are many ways to build a classification model, we will focus on using logistic regression, a common tool for marketing problems in which the dependent variable is binary. We will begin by choosing a single predictor variable and then determine which other variables need to be added to our analysis. In this module, we will focus on developing alternative models that all have a single predictor.

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3 readings, 1 quiz
3 lecturas
Data Preparation Instructions20m
Populating the Template20m
Review Forecasting Models for Marketing Decisions, Parts 1 - 310m
1 ejercicio de práctica
Logistic Regression Practice6m
Semana
4
1 hora para completar

Model Validation and Comparison

In the previous module, we estimated a model linking home ownership to whether or not a loan is considered risky. In this module, we will begin by assessing the accuracy of this model relative to a naïve model. We will then use this spreadsheet as a means of assessing how well the model performs when different predictors are used.

...
1 reading, 2 quizzes
1 lectura
Model Validation20m
1 ejercicio de práctica
Model Validation5m

Instructor

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David Schweidel

Associate Professor of Marketing
Goizueta Business School

Acerca de Universidad Emory

Emory University, located in Atlanta, Georgia, is one of the world's leading research universities. Its mission is to create, preserve, teach and apply knowledge in the service of humanity....

Acerca del programa especializado Foundations of Marketing Analytics

In this specialization you will learn how to: • Find, extract, organize and describe data to support business decisions • Identify, quantify and interpret relationships between variables • Derive customer insights from your data • Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions • Present and justify a course of action to management The capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem....
Foundations of Marketing Analytics

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • 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.

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