This course is intended to make the students an expert in SAS programming.
- Total Hours: 300 hrs; 150 hours of learning content plus 75 hours of practicals and 75 hours of assessments.
- Learn from established industry experts with 12+ yrs of experience
SAS was developed at North Carolina State University from 1966 until 1976 when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s
SAS stands for Software for Statistical Analysis. It was established by the SAS Institute in the year 1960. SAS has been used for data management, business intelligence, predictive analysis, descriptive and prescriptive analysis, etc. since 1 January 1960. Since then, the software has implemented many fresh statistical processes and elements.
SAS took advantage of the Graphical User Interface introduced by Macintosh with the implementation of JMP (Jump) for statistics. Jump is used primarily for applications such as Six Sigma, drawings, quality control, engineering, and scientific analysis.
The Certificate Course in Clinical SAS from Clinosol Research Pvt. Ltd. has been designed for students who are interested in learning programming skills and to start a career in Clinical SAS as a programmer.
At the end of this course ability to integrate the theory and practice of computing.
- Insight about SAS as a language
- Describe the rules for the definition of SAS names
- Define the different datatypes, datasets in SAS
- Explain the significance of Data/Procedural step
- Run SAS programs
Use Cases of SAS implementation
- Installing SAS University Edition
- Explore SAS GUI, SAS window and its contents
- Rules for definition of a SAS name
- Different Datatypes in SAS
- Use of Formats and Informats in SAS
- Illustration of SAS Datasets
- The Data step and procedural step
- Creating an Instream SAS Dataset
- Basic Procedural statements
- Input Buffer and Program Data Vector (PDV)
Navigating the SAS windows environment
- Nuts and bolts of SAS programming steps
- Converting data as per required format
- Creating a dataset using CARDS
- The output using PROC PRINT
- Processing and integrating the Data Step
- Customizing Datasets
- Advanced SAS Procedures
- Advanced Statistical Proficiency with SAS
- Working with ODS
- Working with Procedures
- Using SAS Macros
Graduates and postgraduates from pharmacy and life sciences such as B. Pharmacy, M. Pharmacy
B. Sc. and M. Sc. with Computer sciences and applications and from Statistics background
Other Course Options: This course can be taken in combination with other courses like Clinical Research, Clinical Data Management (For basic knowledge) and CDISC – SDTM for Mapping.
On successfully completing all the learning modules, you will be awarded the,
‘Certificate in Clinical SAS’ certification.