The Statistical Analysis System (SAS) Certified Course is a comprehensive training program designed to equip learners with the essential skills required to manage, analyze, and interpret data using SAS software. SAS is one of the most widely used tools in industries like healthcare, finance, retail, and research for statistical analysis and predictive modeling.
Tools Covered:
Module 1: Introduction to SAS Environment Overview of SAS software and architecture SAS interface: SAS Studio & Enterprise Guide Writing your first SAS program DATA step and PROC step fundamentals.
Module 2: Data Access and Management Importing and exporting datasets (Excel, CSV, databases) Reading raw data using INFILE and INPUT Data formats and informants Data libraries and data types.
Module 3: Data Manipulation Techniques Subletting and merging datasets Sorting, filtering, and conditional processing Using functions (character, numeric, date/time) Creating and modifying variables.
Module 4: Working with Procedures PROC PRINT, PROC MEANS, PROC FREQ PROC SORT, PROC SUMMARY, PROC TRANSPOSE PROC FORMAT for custom output Labeling and organizing output.
Module 5: Statistical Analysis with SAS Descriptive and inferential statistics Hypothesis testing: t-tests, chi-square tests Correlation and regression analysis Analysis of Variance (ANOVA).
Module 6: Advanced Programming with Macros Introduction to Macro Variables Writing and using Macros Macro functions and automation Debugging macro code.
Module 7: SQL in SAS – PROC SQL Basics of SQL queries Joins, subqueries, and set operations Creating and managing tables with PROC SQL Combining SQL with SAS data steps.
Module 8: Data Visualization and Reporting PROC SGPLOT, SGPANEL, and SGSCATTER Creating bar charts, histograms, line plots Using ODS (Output Delivery System) Report creation with PROC REPORT and TABULATE.
Module 9: SAS Certification Exam Preparation Overview of the Base SAS certification structure Sample questions and mock tests Tips for passing the SAS exam Time management strategies.
Module 10: Industry Use Cases & Capstone Project Case studies from healthcare, finance, and marketing Hands-on project using real-world datasets End-to-end analytics workflow using SAS Final project presentation and evaluation.
Industry Projects:
Mobile: 9100348679
Email: coursedivine@gmail.com
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