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
π 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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π± Mobile:+91 9494194334 /+91 9494211474
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