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WELCOME TO VARIABLE SOLUTIONS (Clinical SAS Programming Institution)

VARIABLE SOLUTIONS-GUNTUR is one of the best institute offering complete training for Clinical Trials Programming Using SAS 9. Training is offered by experienced, Qualified and Certified Trainer With Pharma Background.  It’s right time and right place to join to enhance your abilities, and  get in-depth knowledge of Clinical SAS Programming.


Variable Solutions is a Training Institution providing exhaustive learning experiences for students with current market requirements, trends and strengths. Our expertise will walk you through an evolving, volatile and competitive environment.

 Our Vision

Our vision is to become a nationally recognized institution that equips you with the skills needed for a successful career in emerging industries. We are committed to nurturing and empowering our dynamic group of professionals, placing a strong emphasis not just on academic knowledge but also on active learning, hands-on experience, and practical application. This holistic approach results in the development of a diverse skill set, enhanced confidence, and a collaborative approach among our students.

Our Objective

The main objective of Variable Solutions is to empower students with high-quality training programs propelling them towards thriving careers as a Clinical SAS Programmer. With our industry-led clinical SAS training and certification program, you will gain comprehensive knowledge of the SAS programming language to manage, analyze and report clinical trial data. Partnering with leading healthcare, pharma, and IT companies, we offer real-world experience to refine your skills and prepare you for immediate success in your career. We launch your rewarding career in the healthcare industry with confidence.

OUR POPULAR COURSES

πŸ‘‰  SAS BASE & ADVANCE, CLINICAL RESEARCH, CDISC-SDTM, ADAM & TLFS/TLGS

   Learning & benefits from our clinical SAS training course:

       1.      Creating new data sets using DATA STEP.
2.      Accessing the data through libraries into SAS and importing data into SAS environment using INFILE and PROC IMPORT, LIBNAME.
3.      Exploring the data using PROC PRINT, PROC FREQ, PROC MEANS and PROC UNIVARIATE, filtering the data using where expression, and by use of conditional statements (if then else, do loops). Transposing the data using PROC TRANSPOSE.
4.      Statistical analysis of data using PROC FREQ, PROC MEANS, PROC UNIVARIATE.
5.      Generating tables and reports by PROC REPORT, PROC TABULATE and exporting into external environment in different file formats like PDF, EXCEL, POWER POINT, CSV, HTML, RTF  ETC. USING PROC EXPORT and ODS.
6.      Joining of tables by concatenation and merging.
7.      Use of macros for efficient SAS programming, macro debugging with SYMBOLGEN, MPRINT, MLOGIC.
8.      Use of SQL with SAS in creating, manipulating, and altering, joining the tables.
9.      Validation of data using PROC COMPARE, PROC CONTENTS, Analysing SAS log.
10.  Thorough investigation of SAP (statistical analysis plan) document.
11.    In depth knowledge of clinical trials, phases of trials, process of trial, randomization process, structure of research organization, ICH guidelines, Ethical committees, GCP.
12.   In depth knowledge of clinical data management process, CRF designing, database creation, updating, database lock.
13.   In depth study of CDISC implementation guides SDTM, and ADAM.  Standardization of data and deriving of SDTM and ADAM variables using implementation guides.



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πŸ“± Mobile:+91 9494194334 /+91 9494211474

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