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SAS Tutorial

Home Data Science Data Science Tutorials SAS Tutorial

Basic

What is SAS

Advantages of SAS

Career in SAS

SAS Command

SAS Operators

SAS Export to CSV

Loops in SAS

DO WHILE in SAS

SAS System Interview Questions

SSAS Interview Questions

SAS Visual Analytics

SAS Join

SAS Length

SAS INTNX

SAS Congruence

SAS LAG Function

SAS boxplot

SAS INTCK

SAS Find

SAS Grid

SAS Triangle Calculator

SAS KEEP

SAS YEAR Function

SAS Format

SAS Libname

SAS Rename

SAS Retain

SAS Base

SAS JMP

SAS Array

SAS Round

SAS DO Loop

SAS Index

SAS Datalines

SAS Model

SAS Logistic Regression

SAS Numeric to Character

SAS Label

SAS ODS

SAS Upcase

SAS Numeric Formats

SAS Nodupkey

SAS Tutorial and Resources

All of you know that business analytics plays an important role in every organization worldwide. SAS is a statistical analytical system that can be used for analysis, data management, predictive modeling, and data visualization. The SAS Institute for advanced analytics developed it, and it originated at North Carolina State University from 1966 to 1976 after the SAS institute developed statistical features in the 1980s. The analysis helps us make better decisions and find the solution for our business.SAS is programming software with two major steps: the data step and the procedure step. It is mainly used for medical purposes, but it is applicable to all filed, and its university edition is free for download.

Why Do We Need to Learn SAS?

  • If the students decide that the business field is a major domain for the future, it will help to achieve their goals.
  • SAS is a comfortable programming language anyone can easily pick it up.
  • It helps us make a market leader because it provides a new generation of business intelligence.
  • It is a fourth-generation language that provides GUI(Graphical User Interface) and an easy way to access multiple applications.
  • It has a drag-and-drop interface that makes it easy for you to create better statistical models quickly.

Applications of SAS

Generally, SAS is used for statistical analysis and decision-making. Here I am introducing some major applications: Multivariate analysis, Business Intelligence, Predictive analysis and creating safe drugs, Clinical Research, and Forecasting.

Multivariate Analysis: It is the analysis of various statistical variables of an outcome at the same time. Ex:- The analysis of the stock in a hypermarket.
Business Intelligence: In this application, it makes the study of the entire enterprise business. It makes decisions for future growth through data analysis, mining, etc.
Predictive Analysis: It is a prediction method to improve our business. Sometimes the business outcome is constant over a couple of years. Predictive analysis helps to improve the business.

Creating Safe drugs, Clinical Research, and Forecasting

Diagnosis, forecasting, and prescribing medicines are very important in the medical field. SAS plays a vital role in the medical field, and it supports the clinical research support system.SAS helps monitor whether a patient is at risk. It helps the doctor to find out the improvement condition of a patient In detail if the patient is diagnosed with liver cirrhosis. It is one of the major diseases, so we have to monitor every detail of the patient at any time. First, we have to take some major results, and we have made analysis with this software it helps us to find out the condition of a patient of each day. Sometimes if the patient needs liver transplantation or not, through the analysis of the patient's details, we can find out and helps the doctor prescribing the medicines. Sometimes it helps in the Forecasting of diseases.

Pre-requisites

As a student and reader, you need some knowledge about business analysis concepts only to help us make effective analysis results.

Target Audience

SAS is easy to learn without prior knowledge of programming because it has only two steps the data step and the procedure step. In the data step, we have to explain the data we are giving and the procedure step it helps for the execution. Mainly it is used for business analysis in various fields. For example, it is used in the medical field to diagnose, predict diseases, and prescribe medicines. It can be used in various filed for data analysis, predictive analysis for business growth, and Business Intelligence.

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