Overview of SAS and its importance in data science.
Introduction to SAS GUI and library statements.
Importing and exporting data in SAS.
Managing variable attributes.
Basic statistics and hypothesis testing in SAS.
Introduction to analytics and its techniques.
Advanced statistics techniques – clustering, decision trees, linear regression, logistic regression.
Practical exercises and hands-on experience.
Videos
Articles
Digital Badges
Quizzes
Handouts
One-to-one mentorship
You have a role in data analysis, statistics, or any other data-related roles, and are seeking proficiency in SAS.
Enhance your data analysis skills.
Improve utilization of SAS for data-related tasks.
Raise your data-driven decision-making capabilities.
Contribute to data science initiatives within the organization.
Call us to talk to one of our learning advisors about your upskilling requirements or use the form below to send us a message.