Sas Statistical Programmer Entry level Training Curriculum

Overview of SAS in pharma industry
Data Steps Statements involving usage of input, output, Import, Export, WHERE, SET, Merge, KEEP, DROP, ATTRIB, Format, Label, etc.
SQL Statements in SAS, SELECT, CASE, JOIN, UNION, Sorting Data
Various option in reading input data files of various formats and understanding of MISSOVER, PAD, Delimiter, DLM, Delimiter DSD
Create output files in SAS, EXCEL, ASCII formats
Create analysis output in ASCII, RTF, PDF, HTML
SAS Operators – Arithmetic, Logical, Comparison
SAS Functions – NUMERIC, CHARACTER, IS NULL, CONTAINS, LIKE, Input/Put, Date/Time
Conditional Statements: Do While, Do Until, If, Then, Else, etc.
Data handling procedures: PROC PRINT, SORT, COPY, DATASET, SORT, EXPORT, DATASET, TRANSPOSE, etc.
Basic SAS/STAT Procedures: UNIVARIATE, FREQ, MEANS, SUMMARY, CORR, RANK,
SAS Macros: Syntax, Variables, Positional Parameters
SAS Graphs: PROC GCHART, Bar Charts, Pie, Bar, 3D, plotting variables with PROC GPLOT.
PROC REPORT and its various options
Titles and Footnotes
Overview of CDISC SDTM and ADaM

ATTENTION :

Entry level training is same for planning SAS career in any industry whether pharma, finance, insurance, etc.
Extensive practice is required in usage of data steps, input/output, SAS functions, and macros