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Base SAS Programming
Pick up essential skills in SAS – the world’s leading analytics software . Get exam-ready for SAS’s Base Programmer certification

8 Weeks programme

Contact hours: 28 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
SAS is the leading analytical and statistical software deployed across the globe and across industries & business functions. SAS provides a range of custom-made products for industry verticals and business horizontals. From business intelligence to analytics, from business forecasting to text mining, from banks to pharmaceutical companies – SAS product suites cater to all. The “Base SAS Programming: SAS Certification enabler” programme aims to make participants proficient in the Base SAS environment. The programme introduces participants to the SAS environment and the world of SAS programming. Starting with reading the data and going all the way to auditing the data, this programme imparts strong skills to perform data management, data manipulation, data transformation, data summarization, and report generation using Base SAS. For participants across the board, the programme offers a structured learning approach & framework to prepare oneself for the SAS Global Certification programme, in particular, the “SAS Certified Base Programmer for SAS 9 Credential” certification.
Who should go for the Programme?
The “Base SAS Programming: SAS Certification enabler” programme has been designed & developed to cater to the requirements of students, researchers, and professionals across industries (retail, banking, technology, telecommunications, media, airlines, automotive, manufacturing, etc) as well as across business functions (marketing, finance, operations, supply chains, human resources, etc). The programme offers substantial value to all participants aspiring to carve out a career for themselves in the high-demand & rapidly-growing Analytics industry, where SAS is an extremely well-entrenched tool. 
Professionals in the traditional IT/ITES industry, where applications of SAS are getting very popular, would also benefit from the programme. For UG/PG students looking for an entry into the Analytics industry, the programme offers an opportunity to rapidly upskill oneself in the highly-prized Base SAS skillset, thereby scoring a significant edge over their competition.

Key Takeaways

  • Gain knowledge of & expertize in various aspects of the Base SAS environment
  • Learn the functionalities of various SAS Procedures and SAS Statements
  • Develop expertise in creating, merging, splitting, and sorting SAS datasets
  • Acquire proficiency in data management, data manipulation, data transformation, data summarization, and report generation using Base SAS
  • Understand the various features available in different SAS software and the various SAS packages

Learning Mode

Curriculum Overview

A brief history of SAS
A comparative view of SAS vis-à-vis SPSS, R, etc
SAS GUI versus SAS Program
SAS Procedures and SAS Statements
SAS Software – a quick glance
SAS Packages – an overview
SAS Stat, SAS Macro, SAS Forecast, SAS OR, etc
SAS Datasets
Defining a SAS Library
The DATA Statement
Variables & Attributes
Creating SAS Datasets
Importing/ Exporting SAS Datasets
Column/ Line pointer controls
Reading non-standard data with SAS
FORMATTED inputs and LIST inputs
The INFILE Statement and its options
The CONTENTS Procedure
Sorting datasets
Merging/ Splitting datasets
Processing datasets using DO LOOPS
Processing data using one-dimensional SAS arrays
Conditional execution of SAS statements
Data manipulations with numeric values
Data manipulations with date values
Data manipulations with character values
Data type conversions in SAS
Cleaning datasets
Validating datasets
The MEANS Procedure
The UNIVARIATE Procedure
The SUMMARY Procedure
The PRINT Procedure
The FREQ Procedure
The REPORT Procedure
Titles & Footnotes
System reporting in SAS
ODS statements

Are there any Learning Pre-requisites?

There are no specific learning pre-requisites for the programme. The programme expects NEITHER a strong knowledge of Statistics NOR an advance knowledge of computer programming knowledge, in advance.
Effectiveness of learning through the programme would be enhanced if participants possess good logical & analytical reasoning skills, apart from a basic familiarity with broad computer programming concepts like variables, operators, if-then-else conditions, loops, etc.


Base SAS Programming

MEET Our Consultants & Faculty

Goutam Das

Ph.D. Scholar (Foreign Direct Investment), IIFT Delhi MTech (Computer Engg.), IIT Kharagpur Alumnus of IIM Calcutta & ISI Delhi 25+ yrs of industry exp. across industry verticals

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Dr Nidhan "Neal" Choudhuri

Ph.D. (Statistics), Michigan State University, USA B. Stats & M. Stats, Indian Statistical Institute, Calcutta Ex-Chief Scientist & Founder, PlanetRisk Inc, USA; 20 yrs of industry exp. with Morgan Stanley, Barclays Capital, etc.

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Debjani Bhattacharya

M. Phil, Jadavpur University, B.E. (Electrical Engg.), MN-NIT Allahabad

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Dr. Mousumi Duttaray

Ph.D. (International Economics), Indiana University, USA 18+ years of teaching, research and industry experience in USA with global majors like Barclaycard, AMEX etc.

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Amrita Saha

M.Sc.(Economics) Calcutta University

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Somnath Sinha

B.Tech. (Electrical), IIT Bombay PGDM, IIM Calcutta 30+ yrs. of exp. in global delivery with 2 decades of service with IBM as Service Leader (IT) & CIO Ex-partner of Accenture, KPMG, E&Y, PWC

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Prof. B. B. Chakrabarti

Ph.D. in Economics Gold Medalist -PGDM, IIM Calcutta Gold Medalist - BE, Jadavpur Univ. Fellow Member of the Institute of Cost Accountants of India (ICAI) 40+ yrs of experience in industry/ academic

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Pravin Bhosale

B. E. (Mech. Engg), NIIT PG Certification on Business Analytics, Machine Learning Cert from Stanford Univ. LOMA ALMI Certified Professional 15+ years of experience in consulting on Financial Analytics, Credit Risk Analytics, Operations Research, Business Analytics,

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