- SAS - Dates & Times
- SAS - Macros
- SAS - Input Methods
- SAS - Functions
- SAS - Decision Making
- SAS - Loops
- SAS - Operators
- SAS - Numeric Formats
- SAS - Arrays
- SAS - Strings
- SAS - Variables
- SAS - Data Sets
- SAS - Basic Syntax
- SAS - Program Structure
- SAS - User Interface
- SAS - Environment
- SAS - Overview
- SAS - Home
SAS Data Set Operations
- SAS - Simulations
- SAS - Output Delivery System
- SAS - SQL
- SAS - Format Data Sets
- SAS - Sort Data Sets
- SAS - Subsetting Data Sets
- SAS - Merging Data Sets
- SAS - Concatenate Data Sets
- SAS - Write Data Sets
- SAS - Read Raw Data
SAS Data Representation
SAS Basic Statistical Procedure
- SAS - Hypothesis Testing
- SAS - One-Way Anova
- SAS - Repeated Measure Analysis
- SAS - Fishers Exact Tests
- SAS - Chi-Square
- SAS - Bland-Altman Analysis
- SAS - Linear Regression
- SAS - Correlation Analysis
- SAS - T Tests
- SAS - Cross Tabulations
- SAS - Frequency Distributions
- SAS - Standard Deviation
- SAS - Arithmetic Mean
SAS Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
![SAS Tutorial](/sas/images/sas.jpg)
SAS Tutorial
SAS is a leader in business analytics. Through innovative analytics it caters to business intelpgence and data management software and services. SAS transforms data into insight which can give a fresh perspective on business.
Unpke other BI tools available in the market, SAS takes an extensive programming approach to data transformation and analysis rather than a pure drag drop and connect approach. That makes it stand out from the crowd as it gives much finer control over data manipulation. SAS has a very large number of components customized for specific industries and data analysis tasks.
Audience
This tutorial is designed for all those readers who want to read and transform raw data to produce insights for business using SAS. In addition, it will also be quite useful for those readers who would pke to become a Data Analyst or Data Scientist.
Prerequisites
Before proceeding with this tutorial, you should have a basic understanding of Computer Programming terminologies. A basic understanding of any of the programming languages will help you in understanding the SAS programming concepts. Famiparity with SQL will help you learn it very fast.
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