Course Duration
48 hrs
Mode Of Training
Live Web
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Course hours 48 hrs
Training Mode Live Web
100% Job Assistance
SAS Certified Trainer
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The course is designed for candidates who aspires to build career in the Clinical Data Management and learns how to write SAS programs and prepare data for analysis. The comparisons of manipulation techniques and resource cost benefits are designed to help programmers choose the most appropriate technique for their data situation. It focuses on the components of the SAS macro facility and how to design, write, and debug macro systems. Emphasis is placed on understanding how programs with and wit ...
Read raw data files and SAS data sets
Investigate and summarize data by generating frequency tables and descriptive statistics
Create SAS variables and recode data values
Subset data
Combine multiple SAS files
Create listing, summary, HTML, and graph reports.
Use macro code to write more efficient SAS programs
Use the SQL procedure as an easy, flexible way to query and combine your data
Use advanced SAS programming techniques such as creating samples and indexes, using lookup tables to match data, and modifying and tracking data set changes
Write SAS programs to maximize efficiency.
Before attending this course, you should have experience using computer software. Specifically, you should be able to,
Understand file structures and system commands on your operating systems.
Access data files on your operating systems.
No prior SAS experience is needed.
If you do not feel comfortable with the prerequisites or are new to programming and think that the pace of this course might be too demanding, you can take the SAS Programming Introduction: Basic Concepts course before attending this course.
Navigate the SAS windowing environment.
Navigate the SAS Enterprise Guide programming environment.
Read various types of data into SAS data sets.
Create SAS variables and subset data.
Combine SAS data sets.
Create and enhance listing and summary reports.
Validate SAS data sets.
Control SAS data set input and output.
Combine SAS data sets.
Summarize, read, and write different types of data.
Perform DO loop and SAS array processing.
Transform character, numeric, and date variables.
Perform text substitution in SAS code
Automate and customize the production of SAS code
Conditionally or iteratively construct SAS code
Use macro variables and macro functions.
Query and subset data
Summarize and present data
Combine tables, including complex joins and merges
Create and modify table views and indexes
Replace multiple data and proc steps with one sql query.
Benchmark computer resource usage
Control memory, i/o, and cpu resources
Create and use indexes
Combine data horizontally
Use hash and hiter data step component objects and arrays as lookup tables
Compress sas data sets
Sample your sas data sets
Create and use sas data views
Safely reduce the length of numeric variables
Create user-defined functions and informats.
Training & Digital Badge.
Course material.
2 attempts of Global certification.
Provide labor market insights that connect your new skills to jobs.
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â–ª the SAS programming process
â–ª using SAS programming tools
â–ª discussing the course environment and scenario
â–ª understanding SAS data
â–ª accessing data through libraries
â–ª importing data into SAS
â–ª exploring data
â–ª filtering rows
â–ª formatting columns
â–ª sorting data and removing duplicates
â–ª reading and filtering data
â–ª computing new columns
â–ª conditional processing
â–ª enhancing reports with titles, footnotes, and labels
â–ª creating frequency reports
â–ª creating summary statistics reports
â–ª exporting data
â–ª exporting reports
â–ª using Structured Query Language in SAS
â–ª joining tables using SQL in SAS
â–ª setting up for this course
â–ª understanding DATA step processing
â–ª directing DATA step output
â–ª creating an accumulating column
â–ª processing data in groups
â–ª understanding SAS functions and CALL routines
â–ª using numeric and date functions
â–ª using character functions
â–ª using special functions to convert column type
â–ª creating and using custom formats
â–ª creating custom formats from tables
â–ª concatenating tables
â–ª merging tables
â–ª identifying matching and nonmatching rows
â–ª using iterative DO loops
â–ª using conditional DO loops
â–ª restructuring data with the DATA step
â–ª restructuring data with the TRANSPOSE procedure
â–ª overview of SAS Foundation
â–ª course logistics
â–ª course data files
â–ª purpose of the macro facility
â–ª program flow
â–ª introduction to macro variables
â–ª automatic macro variables
â–ª macro variable references
â–ª user-defined macro variables
â–ª delimiting macro variable references
â–ª macro functions
â–ª defining and calling a macro
â–ª macro parameters
â–ª creating macro variables in the DATA step
â–ª indirect references to macro variables
â–ª creating macro variables in SQL
â–ª conditional processing
â–ª parameter validation
â–ª iterative processing
â–ª global and local symbol tables
â–ª SAS resources
â–ª beyond this course
â–ª program flow
â–ª overview of SAS Foundation
â–ª course logistics
â–ª course data files
â–ª introducing the Structured Query Language
â–ª overview of the SQL procedure
â–ª specifying columns
â–ª specifying rows
â–ª presenting data
â–ª summarizing data
â–ª introduction to SQL joins
â–ª inner joins
â–ª outer joins
â–ª complex SQL joins
â–ª noncorrelated subqueries
â–ª in-line views
â–ª introduction to set operators
â–ª the UNION operator
â–ª the OUTER UNION operator
â–ª the EXCEPT operator
â–ª the INTERSECT operator
â–ª creating tables with the SQL procedure
â–ª creating views with the SQL procedure
â–ª dictionary tables and views
â–ª using SQL procedure options
â–ª interfacing PROC SQL with the macro language
â–ª SAS resources
â–ª beyond this course
â–ª overview of SAS Foundation
â–ª course logistics
â–ª creating the course data
â–ª identifying computer resources related to efficiency
â–ª SAS DATA step processing
â–ª controlling I/O
â–ª reducing the length of numeric variables
â–ª compressing SAS data sets
â–ª using SAS views
â–ª access methods
â–ª accessing observations by number
â–ª creating an index
â–ª using an index
â–ª introduction to lookup techniques
â–ª one-dimensional arrays
â–ª multidimensional arrays
â–ª loading a multidimensional array from a SAS data set
â–ª introduction
â–ª hash object methods
â–ª loading a hash object from a SAS data set
â–ª DATA step hiter object
â–ª DATA step merges and SQL procedure joins
â–ª using an index to combine data
â–ª combining summary and detail data
â–ª combining data conditionally
â–ª user-defined functions
â–ª user-defined formats
â–ª areas of support from SAS
â–ª other courses to consider
â–ª combining raw data files vertically
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