Applied Enterprise Analytics

This course aims to provide students with a broad coverage and examples of enterprise analytics techniques with special focus on supervised machine learning techniques and applications. Upon completion of the course, students will be able to:
- Work with data from exploration to pattern discover to deployment
- Prepare the data and create new powerful features
- Build powerful machine learning models efficiently
- Assess each supervised model using the appropriate criterion
- Apply robust supervised algorithms such as decision trees, gradient boosting models, forests, neural networks and support vector machines.
- Develop expertise in using SAS machine learning tool called Model Studio in SAS Viya
- Build Machine Learning pipelines in SAS Model Studio
- Deploy and manage machine learning models in production