This course showcases how to manage a data science project using both SAS and Python to predict customer churn for a fictitious online personal styling service. Using SAS Viya Workbench, you’ll explore how to access, transform, and analyze data from cloud object storage and data lakehouses, then build machine learning models in both SAS and Python. By the end, you’ll be equipped to handle data exploration, model deployment, and integrate version control with GitHub in a modern cloud environment.
Learn How To:
- Perform essential tasks in a data science project using both SAS and Python to streamline workflows.
- Get started with SAS’ on-demand cloud computing environment named SAS Viya Workbench.
- Use Visual Studio Code, a popular open-source code editor developed by Microsoft, and its SAS extension to develop SAS and Python code efficiently.
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