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Modern Data Science with SAS® Viya® Workbench and Python
SAS1 : SAS1
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.
- Seamlessly integrate SAS Viya Workbench with GitHub for streamlined version control and team collaboration.
- Access, transform, and enrich data from diverse sources, including cloud object storage, data lakes, and data lakehouses such as Snowflake.
- Explore, clean, and prepare data for machine learning models in both SAS and Python.
- Create, tune, and evaluate predictive models to identify customers most likely to churn.
- Deploy machine learning models into production environments, making real-time predictions on live data for business impact.
Who Should Attend
Data Scientists who begin their journey with SAS
Prerequisites
Before attending this course, you should have experience using computer software. No prior SAS or Python experience is needed.
SAS Products Covered
SAS Viya
Course Outline
Course Overview
- Predicting customer churn use case introduction.
- What you will learn in this course.
- Introduction to SAS Viya Workbench.
- Exploring SAS Viya Workbench user interface.
- Connecting SAS Viya Workbench with GitHub.
- Accessing and exploring data.
- Data engineering.
- Machine learning.
- Productionizing the model.
- Accessing and exploring data.
- Data engineering.
- Machine learning.
Live Class Schedule
Duration: 3.5 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
This course isn't publicly scheduled, but private training and mentoring may be available. Contact us to explore options.
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.