DATA SCIENCE

★★★★★

(2,095 ratings) 50,000+ Student

SAS DATA SCIENCE

The SAS Data Science course is designed for learners who want to build practical skills in data science, analytics, and machine learning using SAS. The training covers data preparation, statistical analysis, data visualization, predictive modeling, machine learning techniques, and real-world business applications. Through hands-on projects and practical datasets, students learn how to analyze complex data, generate actionable insights, and support data-driven decision-making. As organizations continue to rely on advanced analytics, this course is ideal for data analysts, aspiring data scientists, business analysts, statisticians, students, and IT professionals looking to build a career in data science using SAS.

Radical Technologies

50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

SAS DATA SCIENCE

IT Training Programme

Duration 40 hours

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

23 sections covering the complete curriculum — a single, progressive learning arc.

40 hours

Training Duration

Core Modules

235

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a DATA SCIENCE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

23 sections • 235 lessons • 40 hours

Jump to Section

Total Duration

40 hours

100% Practical · Unlimited Doubt Sessions

01 Target Audience

• Data Analysts

• Data Scientists

• Business Analysts

• SAS Programmers

• Statistical Analysts

• Healthcare & Clinical Data Analysts

• Banking & Risk Analysts

02 Module 1: Introduction to Data Science & SAS

Topics

• Data Science Fundamentals

• Data Science Lifecycle

• SAS Platform Overview

• SAS Architecture

• SAS Studio

• SAS Enterprise Guide

• SAS Libraries

• SAS Data Sets

• SAS Environment Setup

• Data Types in SAS

Assignment

›• Install and Configure SAS Environment

Job-Oriented Scenario

›• Understanding Enterprise Data Analytics Environment

03 Module 2: SAS Programming Fundamentals

Topics

• DATA Step Processing

• Variables and Attributes

• Input and Output Statements

• SAS Functions

• Conditional Processing

• Loops

• Arrays

• Formats and Informats

• Date and Time Functions

• User-Defined Formats

Labs

• Customer Data Processing

Assignment

›• Employee Information Management

Job-Oriented Scenario

›• Data Transformation for Banking Customers

04 Module 3: Data Manipulation and Data Preparation

Topics

• Data Import Techniques

• Data Export Techniques

• Reading Excel Files

• Reading CSV Files

• Data Cleaning

• Missing Value Handling

• Duplicate Removal

• Data Validation

• Data Standardization

• Data Merging

• Data Concatenation

• Data Transposition

Labs

• Customer Data Cleansing

Assignment

›• Sales Data Transformation

Job-Oriented Scenario

›• Preparing Enterprise Data for Analytics

05 Module 4: Advanced SAS Programming

Topics

• Macro Variables

• Macro Functions

• Macro Programs

• Dynamic Code Generation

• PROC SQL

• Advanced PROC SQL

• Joins

• Subqueries

• Views

• Stored Processes

Labs

• Dynamic Reporting Framework

Assignment

›• Automated Data Processing System

Job-Oriented Scenario

›• Monthly Regulatory Reporting Automation

06 Module 5: Statistics for Data Science

Topics

• Descriptive Statistics

• Inferential Statistics

• Probability Concepts

• Sampling Techniques

• Hypothesis Testing

• Confidence Intervals

• Correlation Analysis

• Covariance Analysis

• ANOVA

• Chi-Square Testing

Labs

• Customer Behavior Analysis

Assignment

›• Market Survey Analysis

Job-Oriented Scenario

›• Business Decision Analytics

07 Module 6: Exploratory Data Analysis (EDA)

Topics

• Data Profiling

• Data Distribution Analysis

• Outlier Detection

• Pattern Recognition

• Correlation Analysis

• Feature Analysis

• Trend Analysis

Labs

• Retail Data Analysis

Assignment

›• Insurance Customer Analysis

Job-Oriented Scenario

›• Customer Segmentation Study
›

08 Module 7: Data Visualization using SAS

Topics

• PROC SGPLOT

• PROC SGSCATTER

• PROC SGPANEL

• Bar Charts

• Pie Charts

• Histograms

• Box Plots

• Scatter Plots

• Heat Maps

• Interactive Dashboards

Labs

• Executive Dashboard Creation

Assignment

›• Sales Performance Dashboard

Job-Oriented Scenario

›• Management Reporting Solutions

09 Module 8: Predictive Analytics with SAS

Topics

• Predictive Modeling Concepts

• Data Preparation for Models

• Feature Selection

• Model Evaluation

• Classification Models

• Regression Models

• Forecasting Models

Labs

• Loan Approval Prediction

Assignment

›• Customer Churn Prediction

Job-Oriented Scenario

›• Banking Risk Prediction

10 Module 9: Machine Learning using SAS

Topics

• Supervised Learning

• Unsupervised Learning

• Linear Regression

• Logistic Regression

• Decision Trees

• Random Forest

• Gradient Boosting

• K-Means Clustering

• Hierarchical Clustering

• PCA

Labs

• Fraud Detection Model

Assignment

›• Product Recommendation System

Job-Oriented Scenario

›• Customer Retention Analytics
›

11 Module 10: SAS Enterprise Miner

Topics

• Enterprise Miner Architecture

• Data Source Creation

• Data Partitioning

• Variable Selection

• Model Building

• Model Comparison

• Model Deployment

Labs

• Predictive Analytics Project

Assignment

›• Banking Risk Assessment Model

Job-Oriented Scenario

›• Credit Scoring System

12 Module 11: Time Series & Forecasting

Topics

• Time Series Concepts

• Trend Analysis

• Seasonal Analysis

• Forecasting Techniques

• ARIMA Models

• Exponential Smoothing

• Demand Forecasting

Labs

• Sales Forecasting

Assignment

›• Retail Inventory Forecasting

Job-Oriented Scenario

›• Demand Prediction Platform

13 Module 12: Text Analytics & NLP

Topics

• Text Mining

• Sentiment Analysis

• Text Classification

• Topic Modeling

• Keyword Extraction

• Natural Language Processing Basics

Labs

• Customer Feedback Analysis

Assignment

›• Social Media Sentiment Analysis

Job-Oriented Scenario

›• Brand Monitoring System

14 Module 13: Big Data Analytics with SAS

Topics

• Hadoop Integration

• Spark Integration

• Distributed Processing

• SAS Viya Overview

• In-Memory Analytics

• Large Scale Data Processing

Labs

• Big Data Processing Project

Assignment

›• Enterprise Data Analysis

15 Module 14: SAS Viya for Data Science

Topics

• SAS Viya Architecture

• Visual Analytics

• Model Studio

• Automated Machine Learning

• Model Deployment

• Cloud Analytics

Labs

• End-to-End Data Science Pipeline

Assignment

›• Automated Prediction System

16 Module 15: Model Deployment & MLOps

Topics

• Model Validation

• Model Monitoring

• Model Governance

• Model Deployment Strategies

• API Integration

• Model Lifecycle Management

Labs

• Production Model Deployment

Assignment

›• Model Monitoring Dashboard

Job-Oriented Scenario

›• Enterprise AI Deployment

17 Module 16: Domain-Based Analytics

Banking Analytics

• Credit Risk Analysis

• Loan Default Prediction

• Customer Segmentation

Healthcare Analytics

• Patient Risk Analysis

• Clinical Data Analytics

Retail Analytics

• Customer Analytics

• Demand Forecasting

Insurance Analytics

• Claim Prediction

• Fraud Analytics

18 Module 17: Reporting & Business Intelligence

Topics

• SAS Reports

• Automated Reporting

• KPI Dashboards

• Executive Dashboards

• Data Storytelling

• Business Insights Presentation

Assignment

›• Executive Analytics Dashboard

19 Module 18: Real-Time Industry Projects

Project 1

Banking Credit Risk Analytics Platform

Project 2

Customer Churn Prediction System

Project 3

Healthcare Patient Risk Prediction

Project 4

Insurance Fraud Detection System

Project 5

Retail Demand Forecasting Solution

Project 6

Customer Segmentation Platform

Project 7

Financial Analytics Dashboard

Project 8

Marketing Campaign Effectiveness Analysis

20 Assignments

SAS Programming

• 50 Programming Assignments

• 30 Macro Programming Exercises

Statistics

• 25 Statistical Analysis Exercises

Machine Learning

• 30 Predictive Modeling Assignments

Visualization

• 20 Dashboard Development Projects

Data Science

• 15 End-to-End Analytics Projects

21 Real-Time Job-Oriented Scenarios

Banking

• 50 Credit Risk Scenarios

• 30 Fraud Detection Scenarios

• 25 Customer Segmentation Scenarios

Healthcare

• 30 Clinical Data Analysis Scenarios

• 20 Patient Outcome Prediction Scenarios

Retail

• 30 Sales Forecasting Scenarios

• 20 Customer Analytics Scenarios

Insurance

• 25 Claims Analysis Scenarios

• 20 Fraud Investigation Scenarios

Data Science

• 50 Data Cleaning Scenarios

• 40 Predictive Analytics Scenarios

• 30 Model Deployment Scenarios

22 Interview Preparation

SAS Programming

• 500+ Interview Questions

SAS Advanced Programming

• 300+ Questions

Statistics

• 250+ Questions

Machine Learning

• 300+ Questions

SAS Enterprise Miner

• 150+ Questions

Scenario-Based Interviews

›• Banking Analytics
›• Healthcare Analytics
›• Retail Analytics
›• Insurance Analytics

Mock Interviews

• SAS Programmer

• SAS Data Analyst

• SAS Data Scientist

• SAS Consultant

• SAS Analytics Specialist

23 Recommended Certifications

• SAS Certified Specialist: Base Programming Using SAS 9.4

• SAS Certified Professional: Advanced Programming Using SAS 9.4

• SAS Certified Data Scientist

• SAS Certified AI & Machine Learning Professional

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

235+

Hands-On Lessons

Core Modules

40 hours

Training Duration

100%

Practical Training

You don't just learn SAS DATA SCIENCE. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

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Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

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Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.