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Data Analytics And Bi Training
SAS Certification Training
5.0

Level

Advanced

Duration

8 Weeks

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What is SAS Certification Training?

The SAS Certification Training by jast tech is designed to prepare professionals for data analytics and statistical roles across industries such as healthcare, banking, insurance, and pharmaceuticals. This course covers SAS programming, data manipulation, statistical analysis, and predictive modeling. Learners gain extensive hands-on experience working with large enterprise datasets and real-world analytics problems. The training aligns with global SAS certification standards and current industry analytics requirements.

Job Roles You Can Achieve

After completing this course

  • Solutions Architect
  • Technical Consultant
  • Implementation Specialist
  • System Administrator
  • IT Professional

SAS Certification Training Curriculum

1
Module 01

Introduction to Analytics and SAS Environment

Introduces analytics concepts and the SAS software ecosystem used in enterprises.

Analytics lifecycle
SAS architecture and components
SAS interface overview
Industry applications of SAS
2
Module 02

SAS Programming Fundamentals

Covers the basics of SAS programming syntax and execution.

SAS programs structure
DATA step fundamentals
PROC step overview
Program execution flow
3
Module 03

Data Importing and Data Management

Focuses on handling data from multiple sources.

Importing CSV, Excel, databases
Data libraries
Data formats and informats
Data cleansing techniques
4
Module 04

Data Manipulation Using DATA Step

Explains data transformation and preparation techniques.

Conditional processing
Loops and iterations
Data merging and joins
Handling missing values
5
Module 05

Statistical Analysis Using SAS Procedures

Covers core statistical techniques used in analytics.

Descriptive statistics
Frequency analysis
Measures of dispersion
Statistical summaries

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Healthcare Data Analytics Project

Analyze patient and clinical data to identify trends and insights. The project focuses on data cleaning, statistical analysis, and reporting. It mirrors real healthcare analytics environments.

Banking Risk and Fraud Analysis

Work on transaction and customer data to detect risk patterns. Learners apply statistical techniques and predictive logic used in BFSI organizations.

Customer Segmentation Analytics

Segment customers based on behavioral data using SAS procedures. The project supports marketing and business decision-making use cases.

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

8 Weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

8 Weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

8 Weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 Weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

SAS Certification Training – Associate

  • Exam Name

    SAS Certification Training – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

What is SAS and where is it used?

SAS is an analytics software used for statistical analysis, data management, and predictive modeling in regulated industries.

Difference between DATA step and PROC step?

DATA step is used for data manipulation, while PROC step performs analysis and reporting.

How do you handle missing data in SAS?

Using conditional logic, imputation methods, or filtering techniques within DATA steps.

What are SAS procedures?

Predefined programs that perform specific analytical tasks such as statistics, modeling, and reporting.

Why do enterprises prefer SAS for analytics?

Due to accuracy, scalability, compliance, and trusted analytical capabilities.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Why is SAS widely used in regulated industries?

SAS provides robust statistical accuracy, strong governance, and compliance support, making it ideal for healthcare, pharmaceuticals, and banking sectors.

Who should enroll in SAS Certification Training?

This course is suitable for data analysts, statisticians, fresh graduates, and professionals working in analytics-driven roles.

Is prior programming knowledge required?

No prior programming is mandatory; SAS programming is taught from fundamentals.

Does this course include practical datasets?

Yes, jast tech uses real-world datasets to simulate industry analytics problems.

What career roles can be pursued after this course?

SAS Analyst, Statistical Analyst, Data Analyst, Risk Analyst, and Research Analyst.

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