Modern Data Science with SAS Viya & Python for Churn Models

Managing data science projects effectively is critical in a modern, data-driven world. The Modern Data Science with SAS® Viya® Workbench and Python course equips professionals with the skills necessary to handle all aspects of a data science project. Through this 3.5-hour course, participants predict customer churn for a fictional online personal styling service by leveraging the power of both SAS and Python. The course focuses on using SAS Viya Workbench, an on-demand cloud computing environment, in conjunction with Python to provide a holistic data science workflow.

With SAS Viya Workbench, participants will learn to access, transform, and analyze data from a variety of sources, including cloud object storage and data lakehouses like Snowflake. This course explores seamless integration with popular tools such as Visual Studio Code and GitHub, enabling streamlined version control and effective team collaboration. These capabilities are vital for data scientists aiming to maximize productivity, handle data efficiently, and maintain code quality.

Participants gain expertise in data exploration, data cleaning, data preparation, and building predictive models using SAS and Python. By evaluating and tuning machine learning models, attendees learn to identify customers who are most likely to churn. Additionally, deploying these models into production environments for real-time predictions showcases practical, business-impacting results.

Whether you are a new data scientist or expanding your skillset with SAS, this course simplifies data engineering, model deployment, and data-driven decision-making with SAS and Python integration. No prior experience is required, making it accessible and transformative for those looking to enter or grow within the data science field.