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SAS
Why Use SAS?
- It is a long standing package and has been considerably more current than some other packages, such as SPSS.
- SAS has built-in some very helpful concepts that make difficult problems possible. For example, in SAS one can open several datasets at once, merge and combine them in different ways, pick and choose variables, and get a lot of stuff done that you just can't do with your garden variety statistical program, such as SPSS or STATA.
- SAS is the leading package in industry and if you are thinking you might go get a "real job" it is good to know SAS
- Lots of other professional researchers use SAS and unless you demonstrate at least a passing proficiency with it, they will think you are not the sharpest tool in the drawer.
SAS provides a complete, comprehensive and integrated platform for data analysis, including solutions for Data Integration, Analytics and Business Intelligence.
Why SAS Is the Best Place to Put Your Clinical Data
Overview: The SAS System contains an incredible amount of functionality for managing the data files as a database. In most respects, including data storage, data access, and data management, SAS can be considered a database..
A SAS program consists of one or more DATA steps to get the data into a format that SAS can understand and one or more calls to PROCs to perform various analyses on the data.
Course contents:
- Introduction to SAS
- Getting Started with SAS system
- Data Access
- DATA Step Programming
- SAS Functions
- Learning about Procedures
- Data Manipulation
- Data Management
- Data Presentation
- Statistical Procedures
- SAS Macro Language
- SAS/Access
- Introduction to SAS/Access
For students with science Background:
- Clinical Trails
- Introduction to Clinical trials
- Environment and Guiding principles
- The drug and device development process
- Industry regulations and standards
- Understanding the clinical study
- Preparing And classifying clinical Trial Data
- Importing data
- Transforming data and creating Analysis data sets
- Creating Tables and Listings
- Creating Clinical trail Graphs
- Exporting data to The FDA
Careers:
- CLINICAL
- DATA MANAGEMENT
- FINANCE
- MARKETICS
- INSURANCE AND BANKING SECTORS
