SAS

Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

Filter Courses within "SAS" (Click to filter)
Building a Large-Scale, Automated Forecasting System (Coursera) Coursera
SAS

Building a Large-Scale, Automated Forecasting System (Coursera)

Discover how to build and manage large-scale forecasting systems with our expert-led course. Dive into data creation, variable transformations, model generation, and selection techniques using SAS Visual Forecasting tools. Enhance your baseline forecasting performance by refining default processes in the system.

Nov 9th 2026
5-12 Weeks
Modeling Time Series and Sequential Data (Coursera) Coursera
SAS

Modeling Time Series and Sequential Data (Coursera)

Discover the secrets to forecasting future events with our in-depth course on Modeling Time Series and Sequential Data. Whether you're new to time series analysis or looking to refine your skills, this course covers essential techniques like ARMA, ARIMA, and Bayesian modeling to help you build accurate models for trend and seasonality.

Nov 9th 2026
5-12 Weeks
Data Literacy in Practice (Coursera) Coursera
SAS

Data Literacy in Practice (Coursera)

Unlock the power of data literacy with our comprehensive course designed for individuals seeking to enhance their ability to explore, visualize, and utilize data effectively in a real-world context. Follow the journey of a small business owner as they harness the potential of data-driven decision-making to improve company performance.

Nov 9th 2026
2 Weeks
Machine Learning Using SAS Viya (Coursera) Coursera
SAS

Machine Learning Using SAS Viya (Coursera)

Discover the fundamentals of supervised machine learning models using SAS Viya in this engaging online course. Gain a strong grasp on theory, practical application, and the entire analytical life cycle—from problem understanding to model deployment. Perfect for data scientists, analysts, and professionals looking to enhance their skills in predictive analytics and solve complex business problems.

Jul 6th 2026
5-12 Weeks
Four Rare Machine Learning Skills All Data Scientists Need (Coursera) Coursera
SAS

Four Rare Machine Learning Skills All Data Scientists Need (Coursera)

Discover a specialized and rarely taught aspect of machine learning with 'Four Rare Machine Learning Skills All Data Scientists Need'. This exclusive Coursera course dives into the less-discussed but highly valuable techniques that are crucial for advancing your data science career. Master these four critical skills to stand out in the field.

Jul 6th 2026
1 Week
Using SAS Viya REST APIs with Python and R (Coursera) Coursera
SAS

Using SAS Viya REST APIs with Python and R (Coursera)

Dive into the world of big data analytics with our course 'Using SAS Viya REST APIs with Python and R'. This course will guide you through the process of harnessing the full potential of SAS Viya's powerful analytics tools from your Jupyter Notebook. You'll learn to integrate SAS Cloud Analytic Services with Python and R, enabling efficient data uploads, sophisticated analysis, and predictive modeling.

Jun 15th 2026
4 Weeks
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera) Coursera
SAS

Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls (Coursera)

Dive deep into the world of Machine Learning with 'Machine Learning Under the Hood'. This course unravels the complexities of ML, offering insights into its foundational principles, data analysis techniques, reliability of insights, and performance evaluation of predictive models. Perfect for business professionals aiming to harness the power of machine learning.

Mar 23rd 2026
4 Weeks