9.7/10
Highly Recommended
SAS Training and Certification Course on Edureka — Edureka’s SAS program delivers comprehensive, hands-on coverage of data processing, advanced procedures, statistical modeling, and automation, backed by real-world projects and support.
Pros
- In-depth modules on both foundational SAS programming and advanced analytics
- Real-life capstone project reinforces end-to-end workflow from data ingestion to reporting
- Includes PROC SQL and macro automation for dynamic, scalable SAS code
Cons
- Requires local installation or SAS University Edition setup, which can be resource-intensive
- Focuses on Base and Advanced SAS; integration with big-data platforms (e.g., Hadoop) is out of scope
SAS Training and Certification Course Course
Platform: Edureka
Instructor: Unknown
What will you learn in SAS Training and Certification Course
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Install and navigate the SAS environment, understand Data and Proc steps, and control the Program Data Vector (PDV) for efficient data processing
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Import, integrate, and manipulate datasets using INFILE/PROC IMPORT, SET/MERGE, and Data Step programming techniques
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Apply looping constructs, SAS arrays, and built-in functions (PUT/INPUT, date/time, numeric, character) to customize and transform data
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Leverage advanced SAS procedures—PROC MEANS, FREQ, RANK, CORR, UNIVARIATE, SURVEYSELECT—to conduct statistical analysis and data summarization
Program Overview
Module 1: Getting Started with SAS
⏳ 2 hours
- Topics: SAS University Edition setup, SAS GUI overview, Data vs. Proc steps, PDV basics
- Hands-on: Install SAS, write and run a simple program, explore SAS windows and log/output panels
Module 2: Processing & Integrating Data Steps
⏳ 3 hours
- Topics: INFILE/PROC IMPORT, KEEP/DROP, RENAME, LABEL, SET and MERGE statements
- Hands-on: Import external files, create permanent datasets, concatenate and merge tables
Module 3: Customizing Datasets with Loops & Arrays
⏳ 2 hours
- Topics: DO loops (DO, DO WHILE, DO UNTIL), array processing, SAS functions overview
- Hands-on: Use loops and arrays to recode variables, apply date/time and character functions
Module 4: Advanced SAS Procedures
⏳ 3 hours
- Topics: PROC SORT, FORMAT, SUMMARY, MEANS, FREQ, TRANSPOSE, RANK, SURVEYSELECT
- Hands-on: Generate summary statistics, frequency tables, ranked datasets, and sample selection
Module 5: Advanced Statistical Proficiency
⏳ 3 hours
- Topics: Clustering methods, PROC CLUSTER, PROC REG, PROC GLM, PROC LOGISTIC, PROC LIFETEST
- Hands-on: Build regression and clustering models, interpret outputs, and validate model fit
Module 6: PROC SQL & Reporting
⏳ 2 hours
- Topics: SQL pass-through, joins, subqueries, summary queries, and PROC REPORT/ODS
- Hands-on: Query SAS tables with PROC SQL, generate tabular and PDF reports via ODS
Module 7: SAS Macros & Automation
⏳ 2 hours
- Topics: Macro variables, macro definitions, loops, conditional macros for dynamic code
- Hands-on: Write macros to automate repetitive tasks and parameterize programs
Module 8: Capstone Project – End-to-End Analytics
⏳ 4 hours
- Topics: Data ingestion, cleaning, analysis, modeling, and reporting workflow
- Hands-on: Execute a full analytics pipeline on a real dataset (e.g., customer segmentation), deliver results with PROC REPORT and visualizations
Job Outlook
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SAS Programmer / Data Analyst: $70K–$95K / year — develop data pipelines and generate analytical reports using SAS
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Statistical Programmer: $80K–$110K / year — implement statistical analyses and clinical trial reporting in pharmaceutical and healthcare sectors
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Business Intelligence Developer: $75K–$105K / year — combine SAS with BI tools to derive insights, visualizations, and predictive models
FAQs
Can I use this course to handle big data or integrate with Hadoop/Spark?
The course focuses on Base and Advanced SAS programming. Integration with Hadoop, Spark, or cloud-based big data platforms is not covered. You’ll learn efficient data manipulation, statistical procedures, and automation within SAS. Skills learned here provide a foundation for later big-data SAS tools. Separate courses or tutorials are required for full-scale big-data analytics.
Do I need prior programming or analytics experience?
No prior programming or analytics experience is required; the course is beginner-friendly. Familiarity with spreadsheets or databases helps but isn’t mandatory. Hands-on exercises teach data manipulation, statistical analysis, and reporting. Macro programming and automation concepts are introduced step-by-step. The course builds both foundational and advanced SAS skills progressively.
Will this course teach advanced predictive modeling or machine learning?
The course introduces clustering, regression, logistic analysis, and survival modeling. Advanced machine learning techniques like neural networks or ensemble methods are not covered. Understanding statistical modeling in SAS prepares you for predictive analytics courses. You can apply the learned techniques to business and healthcare datasets. Further specialization courses are recommended for complex modeling tasks.
Can I use this course to automate large-scale reporting workflows?
The course teaches macro programming and conditional automation. You can automate repetitive tasks and parameterize programs efficiently. Enterprise-scale workflow integration requires advanced SAS or third-party tools. Early exposure to macros helps establish best practices in coding efficiency. Additional learning is recommended for integrating SAS with BI platforms.
Does this course guarantee job readiness or certification success?
The course prepares you for SAS-related roles like programmer, BI developer, or statistical programmer. Certification success also depends on practice, understanding, and exam preparation. Real-world projects and the capstone build practical experience for portfolios. Complementary skills in SQL, Excel, and data visualization improve employability. Continuous learning and project experience are crucial for career advancement.
