Marketing Analytics
MBA/EWMBA 263 (3-unit)
In this course, students will gain hands-on experience with data analytics for the purpose of learning about and marketing to customers. The goal is not to produce experts in statistics; the goal is to gain the competency to interact with and manage a data science team.
Tech Platform
- Jupyter
- Notebook +
- Python-kernel
Business Context
- Customer acquisition, targeting and retention
- Experimental design of products and promotions
- Search Engine Optimization
- Web analytics (marketing)
Concepts
- Descriptive Models
- Predictive Models and Inference
- Unsupervised Machine Learning
- Supervised Machine Learning
Algorithms
- Segmentation and Clustering with RFM
- Logistic regression
- Neural Networks/Deep learning
- Discrete Choice models and Full-factorial designs
Marketing Analytics
MBA/EWMBA 263 (3-unit)
In this course, students will gain hands-on experience with data analytics for the purpose of learning about and marketing to customers. The goal is not to produce experts in statistics; the goal is to gain the competency to interact with and manage a data science team.
Business Context
- Customer acquisition, targeting and retention
- Experimental design of products and promotions
- Search Engine Optimization
- Web analytics (marketing)
Concepts
- Descriptive Models
- Predictive Models and Inference
- Unsupervised Machine Learning
- Supervised Machine Learning
Algorithms
- Segmentation and Clustering with RFM
- Logistic regression
- Neural Networks/Deep learning
- Discrete Choice models and Full-factorial designs
Tech Platform
- Jupyter
- Notebook +
- Python-kernel
Marketing Analytics
MBA/EWMBA 263 (3-unit)
In this course, students will gain hands-on experience with data analytics for the purpose of learning about and marketing to customers. The goal is not to produce experts in statistics; the goal is to gain the competency to interact with and manage a data science team.
Business Context
- Customer acquisition, targeting and retention
- Experimental design of products and promotions
- Search Engine Optimization
- Web analytics (marketing)
Concepts
- Descriptive Models
- Predictive Models and Inference
- Unsupervised Machine Learning
- Supervised Machine Learning
Algorithms
- Segmentation and Clustering with RFM
- Logistic regression
- Neural Networks/Deep learning
- Discrete Choice models and Full-factorial designs
Tech Platform
- Jupyter
- Notebook +
- Python-kernel
Marketing Analytics
MBA/EWMBA 263 (3-unit)
In this course, students will gain hands-on experience with data analytics for the purpose of learning about and marketing to customers. The goal is not to produce experts in statistics; the goal is to gain the competency to interact with and manage a data science team.
Business Context
- Customer acquisition, targeting and retention
- Experimental design of products and promotions
- Search Engine Optimization
- Web analytics (marketing)
Concepts
- Descriptive Models
- Predictive Models and Inference
- Unsupervised Machine Learning
- Supervised Machine Learning
Algorithms
- Segmentation and Clustering with RFM
- Logistic regression
- Neural Networks/Deep learning
- Discrete Choice models and Full-factorial designs
Tech Platform
- Jupyter
- Notebook +
- Python-kernel
Marketing Analytics
MBA/EWMBA 263 (3-unit)
In this course, students will gain hands-on experience with data analytics for the purpose of learning about and marketing to customers. The goal is not to produce experts in statistics; the goal is to gain the competency to interact with and manage a data science team.
Business Context
- Customer acquisition, targeting and retention
- Experimental design of products and promotions
- Search Engine Optimization
- Web analytics (marketing)
Concepts
- Descriptive Models
- Predictive Models and Inference
- Unsupervised Machine Learning
- Supervised Machine Learning
Algorithms
- Segmentation and Clustering with RFM
- Logistic regression
- Neural Networks/Deep learning
- Discrete Choice models and Full-factorial designs
Tech Platform
- Jupyter
- Notebook +
- Python-kernel