ACLM Institute of Professional Studies

SAS Training

SAS Base Training & Certifications

02 MonthsOnline / OfflineIntermediateACLM CertificationACLM Certification

SAS Training: (Statistical Analysis System), the world’s fastest and powerful statistical package for data analysis. SAS has multi engine architecture for better data management and reporting. This SAS training will prepare candidates for rewarding and very well paying career as SAS analyst, SAS programmer, SAS developer or SAS consultant. SAS Training is distributed under two parts SAS Base & SAS Advance.

COURSE OVERVIEW

Course Overview

ACLM Institute of Professional Studies offers a 02-month intermediate-level SAS Training programme covering SAS Base and selected advanced topics for data access, management, transformation, analysis, reporting, SQL processing, macro programming, error diagnosis and the Output Delivery System (ODS). The programme uses practical examples, SAS data sets, notes, assignments and ebooks to build applied capability in statistical analysis using SAS. Training is available through live online and offline modes.

WHY THIS COURSE

Why Learn This Course?

SAS is used for structured data management, statistical analysis and presentation of analytical results. This course provides a systematic learning path from SAS fundamentals to data transformation, PROC SQL, macro language, procedures, ODS and advanced topics. Learners work with practical examples and assignments to develop confidence in preparing data and presenting analysis results using SAS.

LEARNING OUTCOMES

What You Will Learn

SAS architecture, terminology, libraries, data sets and programme structure
Data access, data management and data transformations
Reading raw data from external files
SAS functions for data preparation and analysis
Statistical analysis and presentation using SAS procedures
SAS SQL processing, queries and methods for combining SAS data sets
SAS macro facility, macro programs and macro concepts
Output Delivery System (ODS) and presentation of results
Methods for diagnosing and avoiding common SAS errors
Selected advanced SAS topics through practical demonstrations and assignments

SKILLS

Skills You Will Gain

Statistical analysis using SAS
Creating, accessing and managing SAS data sets
Transforming and cleaning data using DATA step techniques and functions
Reading raw data from external files
Writing SAS queries and combining data sets
Using SAS procedures for analysis and reporting
Developing introductory SAS macro programs
Producing structured analytical output using ODS
Identifying and avoiding common programming and data errors
Presenting findings from clinical analysis and research data

WHO SHOULD JOIN

Who Should Join?

Students and working professionals who want to develop practical skills in SAS-based statistical analysis, data management and presentation. The course is suitable for learners in India and international online learners.

PREREQUISITES

Prerequisites

Basic statistics knowledge is required. Familiarity with general computer use and working with structured data is helpful, but no additional prerequisite is specified.

TRAINING APPROACH

Training Methodology

Instructor-led, live one-on-one training delivered through online or offline modes. The programme combines explanation, demonstrations using SAS data sets, guided practice, notes, assignments and ebooks. Offline training is available in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR. Online learning is available for learners in India and international markets.

CURRICULUM

Detailed Course Syllabus

Module	Topics / Lessons
Module 1: Introduction to SAS and the SAS Environment Build a working foundation in SAS terminology, programme flow, data sets and the overall approach to data analysis and management using SAS.	SAS overview and applications — Understand the role of SAS in data analysis, statistical work, data management and reporting. 45 min SAS architecture, terminology and programme structure — Become familiar with the DATA step, PROC step, SAS statements, logs and output. 60 min SAS libraries and data sets — Learn how SAS data sets are organised, accessed and used in analysis workflows. 60 min Running, reviewing and documenting SAS programmes — Practise submitting programmes, reviewing results and maintaining readable analytical code. 45 min
Module 2: Data Access and Data Management Learn how to access, inspect, create and manage SAS data sets as a foundation for reliable analysis.	Accessing SAS data — Work with SAS data sources and understand the basic steps for accessing information for analysis. 60 min Creating and managing SAS data sets — Create data sets, define variables and manage observations using core SAS programming techniques. 75 min Inspecting data structure and contents — Review variable attributes, values and data quality issues before transformation. 60 min Data management workflow — Apply a structured process for organising, checking and preparing data for subsequent analysis. 60 min
Module 3: Data Transformations and External Raw Data Develop practical skills for reading raw files and transforming data into analysis-ready SAS data sets.	Reading raw data from external files — Understand approaches for importing raw external data and mapping source fields into SAS variables. 75 min Input, informats and formats — Use appropriate input techniques, informats and formats while reading and displaying data. 75 min Selecting, filtering and sorting observations — Create focused analysis data sets through observation selection, filtering and sorting. 60 min Creating and modifying variables — Derive variables and apply conditional logic to transform source data. 75 min Data quality checks during transformation — Identify missing, inconsistent or unexpected values before analysis. 60 min
Module 4: SAS Functions, Analysis and Presentation Use SAS functions and procedures to prepare data, conduct analysis and present meaningful results.	SAS functions for data preparation — Apply suitable character, numeric and date-related functions for practical data preparation. 75 min Summary and descriptive analysis — Generate analytical summaries and review results from structured data sets. 75 min SAS procedures for analysis — Understand the purpose and workflow of relevant SAS procedures for statistical analysis and reporting. 90 min Analysis of clinical and research-style data — Apply the module concepts to practical clinical analysis and research data examples. 90 min Presenting analytical results — Organise output so that findings can be reviewed clearly and consistently. 60 min
Module 5: SAS SQL Processing and Combining Data Sets Learn to use PROC SQL for queries and understand methods for combining related SAS data sets.	Introduction to PROC SQL — Understand PROC SQL syntax, tables, columns and the relationship between SQL processing and SAS data. 60 min Writing SAS SQL queries — Select, filter, sort and summarise data using practical query patterns. 90 min Joining and combining data — Use appropriate methods to combine related data sources and understand the effect on the resulting data set. 90 min Overview of methods for combining SAS data sets — Compare key approaches for concatenating, merging and joining data sets in analysis workflows. 75 min Validating combined results — Check record counts, key fields and analytical consistency after combining data. 60 min
Module 6: SAS Macro Language and Macro Facility Introduce reusable SAS programming through macro concepts, macro variables and macro programmes.	Introduction to the SAS macro facility — Understand the purpose of macro processing and how it supports reusable SAS programmes. 60 min Macro variables and symbolic references — Create and use macro variables to make programmes more flexible. 75 min Writing macro programmes — Build introductory macro programmes using SAS data and reporting tasks. 90 min Using SAS macros in analysis workflows — Apply macro logic to repeated data preparation and analytical operations. 75 min Reviewing and troubleshooting macro code — Identify common issues in macro resolution and improve programme readability. 60 min
Module 7: ODS, Error Diagnosis and Reporting Learn to manage analytical output and diagnose common problems in SAS programmes.	The Output Delivery System (ODS) — Understand the role of ODS in managing and presenting SAS procedure output. 75 min Creating organised analytical output — Apply ODS concepts to improve the clarity and usability of results from analysis procedures. 75 min Introduction to diagnosing errors — Read the SAS log and distinguish syntax, data and processing issues. 75 min Avoiding common SAS errors — Use checking practices to reduce errors in data access, transformation, SQL and macro programmes. 75 min Reporting and presentation exercise — Prepare a coherent output package from a practical analysis task. 60 min
Module 8: Advanced Topics and Capstone Practice Consolidate the course concepts through integrated exercises covering data management, analysis, macros, SQL, procedures and presentation.	Advanced SAS topics overview — Review selected advanced topics relevant to extending SAS programming and analysis capability. 60 min Integrated clinical analysis project — Complete a guided clinical analysis task from data preparation through presentation. 120 min Research data presentation project — Apply SAS SQL, procedures and ODS to a research-oriented analytical assignment. 120 min Capstone review and feedback — Review solutions, discuss programming decisions and identify areas for continued practice. 75 min

HANDS-ON EXPERIENCE

Practical Projects

Clinical Analysis Using SAS — Work with a structured clinical-style data set to practise data access, cleaning, transformation, summary analysis and presentation of results. The project integrates SAS data management, functions, procedures and ODS output. Tools: SAS Base programming, DATA step, SAS functions, SAS procedures and ODS
Research Data Analysis and Presentation — Prepare research data for analysis, perform appropriate descriptive analysis, combine related data sets where required, and present clear analytical results using SAS output techniques. Tools: SAS data sets, PROC SQL, data-set combining methods, analytical procedures and ODS
Integrated SAS Data Management Assignment — Complete an end-to-end assignment involving external raw data, data transformation, queries, reusable macro logic, error diagnosis and final presentation of results. Tools: External-file input, DATA step, SAS SQL, SAS macro language, procedures and ODS

CAREER APPLICATION

Career Opportunities

The skills developed in this programme can support further learning and work-oriented preparation in SAS-based data analysis, statistical programming, data management, research analysis and analytical reporting. Career progression depends on the learner’s broader qualifications, experience and employer requirements.

CERTIFICATION

Certification

Learners who complete the applicable ACLM requirements receive an ACLM Certificate of Participation. The supplied course facts do not specify an external certification or examination claim.

FAQ

Frequently Asked Questions

What is the duration of the SAS Training programme?

The programme duration is 02 months.

Who can join this course?

The course is designed for students and professionals interested in SAS-based statistical analysis, data management and presentation.

What prerequisite is required?

Basic statistics knowledge is required.

Is the training available online and offline?

Yes. Training is available in online and offline modes. Offline training is available in Greater Noida West, Greater Noida, Noida, Ghaziabad and Delhi NCR. Online learning is available in India and international markets.

Is the training recorded?

No. The supplied course facts specify that the training is not recorded.

What topics are covered?

Topics include SAS fundamentals, data access and management, transformations, external raw data, SAS functions, analysis, presentation, macro language, SAS SQL processing, queries, combining data sets, SAS procedures, ODS, error diagnosis and advanced topics.

Does the course include practical work?

Yes. Practical work includes clinical analysis, research data analysis and presentation, supported by demonstrations, assignments, notes and ebooks.

What certificate is provided?

ACLM Institute of Professional Studies provides an ACLM Certificate of Participation, subject to the applicable course requirements.

What learning format is used?

The methodology is instructor-led, live one-on-one training with guided practice and practical examples using SAS data sets.

What skill does the course focus on?

The primary stated skill is statistical analysis using SAS, supported by data management, SQL, macro programming and analytical presentation skills.

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