This capstone project will give you an opportunity to apply what we have covered in the Foundations of Marketing Analytics specialization. By the end of this capstone project, you will have conducted exploratory data analysis, examined pairwise relationships among different variables, and developed and tested a predictive model to solve a marketing analytics problem. It is highly recommended that you complete all courses within the Foundations of Marketing Analytics specialization before starting the capstone course.
Este curso forma parte de Programa especializado: Foundations of Marketing Analytics
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ofrecido por
Programa especializado: Foundations of Marketing AnalyticsUniversidad EmoryAcerca de este Curso
Fechas lÃmite flexibles
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Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 6 de 6 en
Aprox. 11 horas para completar
Inglés (English)
SubtÃtulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Curso 6 de 6 en
Aprox. 11 horas para completar
Inglés (English)
SubtÃtulos: Francés (French), Portugués (europeo), Ruso (Russian), Inglés (English), Español (Spanish)
ofrecido por
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.
Programa - Qué aprenderás en este curso
1 hora para completar
Marketing Analytics Project Description
This module will define the goals and activities for the marketing analytics capstone project.
1 hora para completar
2 lecturas
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.
4 horas para completar
9 videos (Total 91 minutos), 2 lecturas, 1 cuestionario
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.
2 horas para completar
3 lecturas
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 hora para completar
1 lectura
Reseñas
- 5 stars58,33Â %
- 4 stars8,33Â %
- 3 stars8,33Â %
- 2 stars8,33Â %
- 1 star16,66Â %
Principales reseñas sobre MARKETING ANALYTICS CAPSTONE PROJECT
por S23 de abr. de 2020
Great course. Amazing content. Incredibly well explained by Professor Schweidel. I have learnt a lot. Thank you!
Acerca de Programa especializado: Foundations of Marketing Analytics
In this specialization you will learn how to:
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