SAS (Statistical Analysis System) – Data Analytics, Statistical Modeling & Business Intelligence
Data Analytics • Statistical Modeling • Business Intelligence (2026 Industry Standard) The latest SAS learning paths focus on SAS Viya, SAS Studio, Visual Analytics, Statistical Modeling, Machine Learning, Decision Intelligence, and AI-enabled analytics along with traditional Base SAS programming, SQL, and Macros.
Course Description
SAS (Statistical Analysis System) is a powerful software suite used for data management, data analytics, statistical analysis, predictive modeling, machine learning, and business intelligence. It helps organizations transform raw data into meaningful insights for better decision-making.
SAS was developed by the SAS Institute in the 1970s and is widely used in industries such as banking, healthcare, pharmaceuticals, insurance, retail, telecommunications, and government.
What You Will Learn
- Basic knowledge of computers and data handling
- Familiarity with Excel or spreadsheets is helpful
- No prior SAS experience required
- Interest in analytics and statistical concepts
- Stable internet connection for practical sessions
- Ability to work with datasets and reports
- Basic understanding of business processes is beneficial
Course Curriculum
11 Sections- Introduction to Data Analytics & Business Intelligence
- Analytics lifecycle (Data → Insights → Decisions)
- Overview of SAS ecosystem
- SAS 9 vs SAS Viya
- SAS Studio Interface
- SAS Libraries & Data Sets
- SAS Data Types and Formats
- Importing and Exporting Data
- Working with Excel, CSV, Databases, and Cloud Data Sources
- SAS Studio
- SAS Viya Environment
Tools Covered
- SAS Program Structure
- DATA Step Programming
- Variables and Attributes
- Conditional Processing (IF-THEN-ELSE)
- Loops and Iteration
- Arrays
- Reading Raw Data
- Data Cleaning
- Data Transformation
- Filtering and Sorting
- Combining Datasets
- Merge and Append Operations
- Missing Value Treatment
- Character Functions
- Numeric Functions
- Date and Time Functions
Data Handling
SAS Functions
- PROC SQL Fundamentals
- SQL Queries in SAS
- Joining Multiple Tables
- Subqueries
- Views
- SAS Macros
- Macro Variables
- Macro Functions
- Dynamic Report Generation
- Automation Techniques
- Performance Optimization
Advanced programming, SQL, and Macro skills continue to be a core SAS developer pathway.
- Data Extraction
- Data Transformation
- Data Loading (ETL)
- Data Integration Techniques
- Data Validation
- Data Quality Checks
- Data Governance Concepts
- Creating Analytical Data Sets
- Working with Large Data
Descriptive Statistics
- Mean, Median, Mode
- Variance and Standard Deviation
- Distribution Analysis
- Correlation Analysis
Inferential Statistics
- Sampling Techniques
- Confidence Intervals
- Hypothesis Testing
- T-Test
- Chi-Square Test
- ANOVA
Modern SAS business analytics programs include statistical foundations, hypothesis testing, and interpretation of data distributions.
Regression Techniques
- Simple Linear Regression
- Multiple Regression
- Logistic Regression
Classification Models
- Decision Trees
- Random Forest Concepts
- Classification Assessment
Segmentation
- Cluster Analysis
- Customer Segmentation
Model Evaluation
- Training and Testing Data
- Accuracy Metrics
- Model Validation
- Scoring New Data
SAS Visual Statistics supports regression, classification, clustering, model comparison, and scoring workflows.
SAS Visual Analytics
- Interactive Reports
- Dashboard Design
- Charts and Graphs
- KPIs and Scorecards
- Filters and Parameters
- Data Exploration
- Trend Analysis
- Forecasting
- Geographical Analytics
- Automated Reporting
SAS Visual Analytics is a major component of modern SAS BI and analytics training.
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Model Building Concepts
- Automated Analytics
- AI Lifecycle
- Responsible AI
- Bias Detection
- Model Monitoring
- Generative AI Fundamentals
- Prompt Engineering Concepts
Recent SAS training programs also include GenAI, AI governance, and decision intelligence topics.
- Decision Modeling
- Rule-Based Decision Systems
- Decision Flows
- Risk Analytics
- Fraud Detection
- Customer Analytics
- Marketing Analytics
- Financial Analytics
- Healthcare Analytics
- Operational Analytics
- PROC REPORT
- PROC TABULATE
- ODS (Output Delivery System)
- PDF, Excel, and HTML Reports
- Automated Report Generation
- Scheduled Analytics Jobs
Banking & Finance
- Credit Risk Analysis
- Fraud Detection
- Customer Segmentation
Retail & Marketing
- Sales Forecasting
- Customer Lifetime Value
- Market Basket Analysis
Healthcare
- Patient Data Analysis
- Clinical Data Reporting
Operations
- Demand Forecasting
- Performance Dashboard Development
Frequently Asked Questions
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