SAS Courses

Career Certificate

SAS Machine Learning Engineer

105 ratings at Coursera

Learn machine learning from statistical foundations through model deployment, automation, monitoring, and ModelOps, then rehearse the material with certification practice exams.

• Coursera
• 12 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 4 courses

Statistical Thinking for Industrial Problem Solving, presented by JMP

101 ratings at Coursera

Apply statistical thinking to industrial problems: explore data in JMP, build control charts, run hypothesis tests, fit linear and logistic regression, and design experiments.

• Coursera
• 10 weeks, 5 hours a week
• Self-Paced
• Free Online Course

Practicing for the SAS Programming Certification Exam

96 ratings at Coursera

Review SAS programming through case studies on TSA claims and world tourism data, then rehearse with practice exams for the Base Programming Using SAS 9.4 certification.

• Coursera
• 3 weeks, 3 hours a week
• Self-Paced
• Paid Course

Advanced SAS Programming Techniques

96 ratings at Coursera

Use advanced SAS DATA step techniques: LAG and COUNT functions, PRX pattern matching, arrays, hash and hash iterator objects, plus custom formats and functions via PROC FORMAT and FCMP.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Predictive Modeling with Logistic Regression using SAS

63 ratings at Coursera

Model individual behavior with SAS PROC LOGISTIC: fit and score logistic models, recode categorical predictors, handle missing values and multicollinearity, and compare model performance.

• Coursera
• 6 weeks, 3 hours a week
• Self-Paced
• Paid Course

Regression Modeling Fundamentals

53 ratings at Coursera

This introductory course is for SAS software users who perform statistical analyses using SAS/STAT software. The focus is on t tests, ANOVA, and linear regression, and includes a brief introduction to logistic regression.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

Analyzing Time Series and Sequential Data

11 ratings at Coursera

Explore time series in SAS Visual Forecasting: create and select features, build an automated large-scale forecasting system, and model signal components with a variety of models.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Career Certificate

AI Literacy: Responsible, Trustworthy, Effective

6 ratings at Coursera

Build trust into AI work: examine responsible innovation, trustworthy AI, ethical use of AI agents and agentic AI, and generative AI techniques with SAS.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Creating Features for Time Series Data

Create time series features with binning, smoothing, and transformations, apply distance measures, run spectral and singular spectrum analysis, and detect motifs in sequences.

• Coursera
• 7 weeks, 2 hours a week
• Self-Paced
• Paid Course

Modeling Time Series and Sequential Data

Build and forecast time series with ARMA, ARIMA and ARIMAX models, Bayesian time series, gradient boosting and recurrent neural networks, then combine them into ensemble and hybrid forecasts.

• Coursera
• 8 weeks, 2 hours a week
• Self-Paced
• Paid Course

Building a Large-Scale, Automated Forecasting System

Build an automated large-scale forecasting system with SAS Visual Forecasting: accumulate timestamped data in PROC TSMODEL, run ATSM model selection, add event variables, and reconcile hierarchical forecasts.

• Coursera
• 10 weeks, 1 hour a week
• Self-Paced
• Paid Course

Data Literacy in Practice

Prepare data, run exploratory analysis, investigate relationships through visualizations, and communicate findings by following a small business owner's data-driven journey to improve performance.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Managing Machine Learning Models

Manage models across their life cycle: compare candidates to pick a champion, enforce governance workflows, test and schedule scoring jobs, and monitor performance over time.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Ethical Use of AI Agents and Agentic AI

Apply six responsible-innovation principles to agentic AI: compare agents with agentic systems, analyze ethical risks across five industries, and use ethics checklists, documentation templates, and governance prompts.

• Coursera
• 5 weeks, 1 hour a week
• Self-Paced
• Paid Course

Generative AI Using SAS

Explore generative AI with SAS: generate synthetic data using SMOTE and GANs, classify text with BERT, and sharpen LLM output through retrieval augmented generation.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course