Cliniteq aims to provide quality training on SAS® software modules, CDISC-SDTM and CDM and also consulting, staffing and service activities
SAS is world’s leading statistical analytical and reporting tool.
Biggest giants of Clinical / Pharmacy, Finance, Banking, Business Analytics, Market Research, etc are looking for SAS professionals, there are in a great demand in our country in other country as well
CLINITEQ is providing internship program in clinical SAS with SDTM
ELIGIBILITY :BSc /MSc(LIFE SCIENCE), BPHARMACY/MPHARMACY, BTECH(BIOTECHNOLOGY), MBBS, BDS, PhD
MODULE – 1: SAS
What is SAS;
SAS is a statistical software package that allows the user to manipulate and analyze data in many different ways. It is mostly used reporting tool. Because of its capabilities, this software package is used in many pharma, finance, retail, telecom and many more.
This course will also be conducted over the weekend to assist busy professionals and students to attend it.
• Get hands-on knowledge on SAS
• Learn SAS programming concepts as applied in the industry
• Practice on Real-life Industry oriented case studies from Retail, Clinical, and Finance field for practical understanding
• State-of-the-art lab with required software for practicing
• Training by highly experienced industry experts
• Access to the highly qualified instructors to clarify queries after the course
• Excellent course materials, course related publications (soft copies) will be provided
• Completion Certificate upon successful completion of the course
• Resume preparation and mock interviews
• We guide you to clear your SAS certification
The latest official version of SAS 9.3 software with all its features is used for training.
MODULE – SAS
INTRODUCTION TO SAS
History of SAS
Terminology of SAS
Introduction to Clinical trails
Topic on real-time SAS programmer work in pharma industry
Guide lines of SAS programming
Protocol, DBMS, SOP, SAP
SAS window environment
Components of SAS Programs
Characteristics of SAS Programs
Layout for SAS Programs
Processing SAS Programs
Backend process of SAS (How SAS thinks and works according to commands)
Results of processing
How SAS files are stored
Storing files temporarily and permanently
Creation of user defined formats and storing them permanently
Using system defined formats
using formats for non-standard data like dates, currency.
Creating Data files or Datasets or Tables
Create temporary and permanent SAS data sets
Create and manipulate SAS date values
Use DATA Step statements to export data to standard and comma delimited raw data files
Control which observations and variables in a SAS data set are processed and output
Round (x, 1); Mean ( ); Put ( ); Input ( ); Lag ( ); Dif ( ); N ( );
NMISS ( ); Log ( ); Int ( ); Weekday ( ); MDY ( , , ); length() compress();
Compbl(); scan(x,1); substr(var,x,y); UPCASE LOWCASE PROPCASE TRIM
SAS options, global options
SAS data management techniques:
Combining or joining datatsets-
Creating Rtf File
Creating Html File
Creating Pdf File
Creating Xml File
Advance SAS :
SAS ORACLE SQL:
Features & Uses
Data Types, Key Words, & Operators
Functions, Predicates & Functions
Group By Clause,
Order By Clause & Having Clause
Case Expression and Conditional Logic.
Creating ,Populating & Deleting Tables
Alter Table Statement
Renaming A Table & Columns
Changing Column’s Length
What is join?
Comparison between SQL joins and data step combining techniques
What are Integrity Constraints?
What are index? How they are created? How to use them?
Generation of summarized report, customized reports.
Using conditional ‘when’ clause
PTF(Pass through facility)
Advance SAS II :
Introduction to macros
User defined macro variables
System defined macro variables
Macro variable references
Defining and calling macros
Batches will start regularly. Weekend and evening batches are going to start.
Additional concepts also added to above If requested.