SAS Course Details By Besant Technologies Course Name Category Venue SAS (Base SAS, Advanced SAS & Clinical SAS) Analytical Services (BI) Besant Technologies No.24, Nagendra Nagar, Velachery Main Road, Address Velachery, Chennai 600 042 Landmark Opposite to Phoenix Market City Official URL Demo Classes Training Methodology Course Duration Class Availability SAS Training At Your Convenience 20% Theory & 80% Practical 45-50 Hours Weekdays & Weekends For Demo Class Call - +91-996 252 8293 / 94 Why Besant Technologies? Training by highly experienced and certified professionals No slideshow (PPT) training, fully Hand-on training Interactive session with interview QA s Real-time projects scenarios & Certification Help Most competitive & affordable course fees Placement support for all courses List of established & satisfied clients & students (Visit our website for reviews).
SAS Training Outline BASE SAS Introduction To SAS System & Architecture History And Various Modules Features Variables & SAS Syntax Rules SAS Data Sets Data Set Options Operators Reading Raw Data Infile Statement With Options Working With External Files & Options Multiple Observations Input Styles Select Statement Leave and Continue Statements Creating & Redefining Variables Where Statement If Then Else Statement Goto, Stop And Error Statements Output Statement, Put Statement Do Loops Modifying And Combining Data Sets Updating Master Data Set Display Manager Commands SAS Functions An Introduction To Arrays And Array Processing Overview Of Methods For Combining Sas Data Sets BASE SAS PROCEDURES Proc sort Proc Print Proc Means Proc Freq Proc Plot Proc Chart Proc Copy Proc Summary Proc Append
Proc Datasets Proc Contents Proc Delete Proc Format Proc Import Proc Export Advanced SAS SAS/SQL Introduction To SAS/ SQL Features Uses Terminology Data Types, Key Words, & Operators Functions, Predicates Formatting Output Group By Clause Order By Clause Having Clause Case Expression And Conditional Logic. Creating,Populating & Deleting Tables Alter Table Statement Changing Column s Length Joins Constraints Renaming A Table & Columns Views SAS/MACROS Macro Concepts Macros And Macro Variables Creating Macro Variables Using Macro Variables Creating Modular Code With Macros Invoking A Macro Adding Parameters To Macros Macros With Conditional Logic Using Various Procedures In Macros Automatic Variables
Macro Functions Including External Macros SAS/ODS Creating RTF File Creating Html File Creating Pdf File SAS/GRAPH Chart Procedure Vertical, Horizontal, Pie Group, Subgroups Plot Procedure Multiple Plots & Overlay Symbol Statement Title And Footnote Statements SAS/REPORTS Frequency Report One-Way Frequency Report Cross Tabular Frequency Report Summary Statistics Creating A List Report Define Statement Order Usage and Group Printing Grand Totals Rbreak Statement Tabulate Procedure One-Dimensional Tables Two-Dimensional Tables Obtaining A Total Analysis Variables with options Summary Statistics SAS/STAT Proc Univariate Proc Corr Proc Reg Proc Anova
Clinical SAS Introduction to drug discovery and development process Overview of highly regulated drug development process, from discovery to bringing a biopharmaceutical product to market. Understanding major phases (Phase I IV) of clinical trials and clinical data management Food and Drug Administration (FDA) regulations and Guidance (21 CFR part 11, GCP, ectd) Regulatory overview and approval process including IND/NDA to FDA Types and parameters of Clinical trial Getting in depth knowledge about the functional group and working of CRO/Pharmaceutical industry and knowing in and out of guidelines pertaining to company involved in clinical trials Learning about the general department structure of pharmaceutical industry, roles and responsibilities of SAS programmer in the company Understanding clinical study and documents {e.g. Protocols, Case Report Form (CRF), annotated and electronic Case Report Form (acrf and ecrf), Statistical Analysis Plan (SAP)} Learning more about types of analysis in clinical trials (Pharmacokinetic, Pharmacodynamics, Efficacy, Safety, etc.) Introduction to Clinical Trial Data Learn to prepare and clean clinical trial data Know how to categorize and summarize clinical data Studying and classifying different types of clinical trial data {Safety (ISS) and Efficacy (ISE) Data} Getting acquainted with new Clinical Data Interchange Standards Consortium (CDISC) Implementation in categorizing clinical data. Using SAS to Create Analysis Data sets Key concepts for creating and transforming analysis data sets (Using DATA steps and PROC TRANSPOSE) Comparing Data sets using PROC COMPARE Understanding and creating Time-to-Event, Change-from-Baseline, Critical variables data sets. Generate Customized Clinical Trials Tables, Listings and Graphs/Figures Using PROC TABULATE to create clinical trial tables Using PROC REPORT to report clinical trials tables and listing Creating summaries of Adverse Event, Concomitant medication, Laboratory data using DATA steps and various SAS Procedures
Creating Kaplan-Meier Survival Tables using PROC LIFETEST or PROC GPLOT Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and Listings. Generating Graphs and Plots using SAS/BASE, SAS STAT and SAS/GRAPH Producing Bar and Pie charts using PROC GPLOT and PROC GCHART Creating Box and Scatter Plot using PROC BOXPLOT, PROC GPLOT and PROC UNIVARIATE Performing Common Analyses and Obtaining Statistics Obtaining Descriptive Statistics Obtaining Inferential Statistics from Categorical Data Analysis Obtaining Inferential Statistics from Continuous Data
Analysis Obtaining Time-to-Event Analysis Statistics Exporting Data Using the SAS XPORT Transport Format Creating XML Files