Founded in 1976, SAS (Statistical Analysis System) is a global leader in analytics software and services. The company provides comprehensive education and certification programs through SAS Academy and SAS Learning Subscription, focusing on analytics, artificial intelligence, and data science training.
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SAS
Coursera
Macquarie University
SAS provides comprehensive career development through various learning paths and certification programs. The platform offers flexible learning options including self-paced e-learning, virtual live classes, and in-person training. Their approach combines theoretical knowledge with hands-on practice using real-world scenarios.
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they’re here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Data Science Educator and Analytics Expert
Ari Zitin is a Senior Analytical Training Consultant at SAS, where he specializes in teaching advanced analytical techniques and the effective use of SAS software for data analysis. He holds bachelor's degrees in both physics and mathematics from the University of North Carolina at Chapel Hill, where his research focused on low-energy physics data related to neutrinos. Zitin has also taught introductory and advanced physics courses at UC Berkeley while pursuing a master's degree in physics with a focus on nonlinear dynamics. At SAS, he has developed courses that integrate Python programming with SAS analytical procedures, enhancing the learning experience for users. His expertise extends to conducting workshops on machine learning and model interpretability, helping participants understand complex analytical models and their applications. Through his work, Zitin is committed to empowering individuals and organizations to leverage data-driven insights for informed decision-making.
Time Series Analytics Expert and Forecasting Specialist
Dr. Chip Wells serves as Senior Manager of Analytical Education at SAS Institute, bringing over three decades of experience in statistical analysis and forecasting since joining SAS in 1991. With a Ph.D. in Economics from North Carolina State University, he specializes in SAS Forecast Server, Enterprise Miner, Model Manager, and advanced statistical tools. His expertise spans time series analysis, predictive modeling, and automated forecasting systems. Through his Coursera courses "Building a Large-Scale, Automated Forecasting System," "Creating Features for Time Series Data," and "Modeling Time Series and Sequential Data," he shares his extensive knowledge in forecasting and time series analytics. His contributions include co-authoring "Applied Data Mining for Forecasting Using SAS," which provides practical guidance for practitioners in selecting and analyzing time series variables. His teaching focuses on helping professionals develop practical skills in building and implementing large-scale forecasting systems while understanding the theoretical foundations of time series analysis.