SAS (Statistical Analysis System) – Data Analytics, Statistical Modeling & Business Intelligence
Learn SAS programming, statistical analysis, predictive modeling, SQL, reporting, and business intelligence using SAS tools like SAS Base, SAS SQL, SAS Viya, and Visual Analytics for real-world data analytics projects.
Course Description
The SAS (Statistical Analysis System) Certification Course is designed for students and professionals who want to build expertise in data analytics, statistical modeling, business intelligence, and predictive analytics using SAS technologies. This comprehensive program covers SAS Base Programming, Advanced SAS, SQL, Statistical Analysis, SAS Macro Language, Reporting, and Cloud Analytics with SAS Viya.
The course starts with SAS fundamentals and gradually moves toward advanced data manipulation, reporting automation, predictive modeling, and enterprise-level analytics. Learners will gain hands-on experience in importing and transforming datasets, building analytical reports, performing statistical tests, and creating interactive dashboards.
Participants will also explore forecasting techniques, regression models, business intelligence reporting, and cloud-based analytics workflows using SAS Viya. Real-world business scenarios and practical exercises help learners understand how organizations use SAS for data-driven decision-making.
The program includes a capstone project where learners implement a complete analytics workflow, from data preparation to predictive insights and executive reporting. After completing this course, learners can pursue careers as SAS Programmers, Data Analysts, Statistical Analysts, BI Consultants, and Analytics Specialists across industries like healthcare, banking, retail, manufacturing, and IT.
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
10 Sections- Introduction to SAS and analytics lifecycle
- SAS architecture & environment
- SAS libraries, datasets, and file handling
- SAS programming structure
- Business use cases of SAS analytics
- SAS data steps and procedures
- Importing and exporting data
- Data cleaning and transformation
- Conditional processing and loops
- Working with dates and character functions
- Sorting, merging, and joining datasets
- PROC REPORT, PROC TABULATE, PROC PRINT
- Creating summary and analytical reports
- Output Delivery System (ODS)
- Automating reports
- SQL concepts using PROC SQL
- Creating and managing tables & views
- Joins, subqueries, and aggregations
- Performance optimization techniques
- Business reporting using SQL
- Advanced data step techniques
- SAS Macro language fundamentals
- Parameter-driven programs
- Automation and dynamic reporting
- Debugging and performance tuning
- Descriptive and inferential statistics
- Probability distributions
- Hypothesis testing (t-test, ANOVA, Chi-square)
- Correlation and regression analysis
- Model interpretation
- Linear and logistic regression models
- Classification techniques
- Time series analysis & forecasting
- Model validation & accuracy metrics
- Business decision modeling
- Interactive dashboards and reports
- Data visualization best practices
- KPI tracking and performance metrics
- Executive-level reporting
- Integration with enterprise data sources
- Introduction to SAS Viya architecture
- Cloud-based analytics workflows
- Machine learning overview in Viya
- Integration with open-source tools
- Enterprise-scale analytics
- Data ingestion and preparation
- Statistical analysis & modeling
- Predictive insights generation
- Executive dashboards and reports
Frequently Asked Questions
Testimonials
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"The best part is hands-on practice. You don’t just learn theory, you actually build projects."
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