Master Data Science with SAS and Python for Customer Churn

This course offers a comprehensive learning journey for data scientists interested in managing data science projects using both SAS and Python. The focus of the course is to predict customer churn for a fictitious online personal styling service, making it relevant for professionals in data science and business analytics. Through the use of SAS Viya Workbench, participants will gain hands-on experience with modern cloud computing environments, cloud object storage, and data lakehouses such as Snowflake.

Throughout the course, learners will access, transform, and analyze data from various sources to build machine learning models. The course covers essential tasks that are integral to any data science project, such as data exploration, cleaning, preparation, and machine learning model creation. Both SAS and Python are used to streamline workflows, and learners will gain proficiency in integrating version control with GitHub, ensuring efficient collaboration and tracking of project changes.

In addition to model building, participants will learn how to deploy machine learning models into production environments. The course teaches how to make real-time predictions on live data, providing tangible business value. The course is designed for aspiring data scientists who may not have prior experience with SAS or Python but are familiar with basic computer software. By the end of the course, learners will be well-equipped to apply predictive modeling techniques to customer churn analysis using both SAS and Python.

This course is ideal for anyone looking to develop their data science skills and take on complex projects involving machine learning in cloud environments. Whether you’re new to SAS or Python, or simply looking to expand your knowledge, this course offers practical, real-world applications for success in data science.