SAS Programming Bootcamp

Prepare For SAS Career

Statistical Analysis System (SAS) is an integrated system of all software products. SAS is in use by statisticians, data scientists, and other technologists for Data Analysis, Business intelligence, and Statistics. SAS can run on all platforms, let it be Windows, IBM, Linux, UNIX, or OpenVMS.


  • Providing the Graduate participants the foundational SAS training required for a highly successful career using SAS in any technical role.

  • Providing learning opportunities to develop SAS Applications and Technologies knowledge and skills.

  • Enabling the Graduate team to learn together, share common learning experiences, and drive an enriched development program to fast-track the attendees development.


SAS is a command-driven software package used for statistical analysis and data visualization. It is available only for Windows operating systems. It is arguably one of the most widely used statistical software packages in both industry and academia . SAS provides functionality and customer support with each analytical tool. Thus, companies have an easier time working with SAS because it is geared towards non-technical users. SAS has been providing data analytics services since the 1970s.

Course Features

Lectures 6
Quizzes 1
Duration 3 hours
Skill Level All Levels
Language English
Student Nill
Certification Yes
Assessment Yes


1) Import

2) Formats

3) Informats

4) Export

5) Null

6) Input options

7) Infile options

Functions & Combining Datasets

1) Character Function, Numeric, Data & Time Functions

2) Merge, Joins, Update, Inter leaving, Concatination

1) Create

2) Insert

3) Alter

4) Update

5) Joints

6) Connect to Database

Functions & Combining Datasets

1) Proc Point

2) Proc Append

3) Proc Sort

4) Proc Transpose

5) Proc Compare

6) Rank Graphics

7) Reports & more than 20+

SAS has a powerful programming feature called "Macros" which allows us to avoid repetitive sections of code and to use them again and again when needed.

1) ETL


3) Live Banking Projects

4) Resume Preparation