Transform Your Career with SAS Training: Master Data Analytics and Statistical Modeling
Course Introduction: In the world of data analytics, SAS (Statistical Analysis System) is a powerful
tool that drives data-driven decision-making across industries such as healthcare, finance, retail, and
more. ENCODE-IT’s SAS Training course is designed to help you harness the full potential of SAS
software, which is widely used for advanced analytics, business intelligence, data management, and
predictive analytics.
Whether you are a beginner looking to build a strong foundation or a professional aiming to enhance
your skills, this course will provide you with practical knowledge of SAS programming, data
manipulation, statistical analysis, and reporting. You will learn how to work with SAS software and
apply it to solve real-world data problems, allowing you to stand out in the competitive field of data
analytics.
Salary Scale in India: Professionals skilled in SAS can expect lucrative salaries as SAS continues to be
a preferred tool for data analysis in many industries. The salary range for SAS professionals in India is
as follows:
 Entry-Level SAS Programmer/Analyst: ₹4 Lakhs to ₹6 Lakhs per annum
 Mid-Level SAS Analyst/Data Scientist: ₹6 Lakhs to ₹12 Lakhs per annum
 Senior-Level SAS Data Scientist/Consultant: ₹12 Lakhs to ₹20 Lakhs+ per annum
As companies increasingly rely on data for decision-making, SAS experts are in high demand, making
this a promising career path with excellent growth prospects.
Placement Assistance & Certification: Upon successful completion of the SAS Training course, you
will receive an ENCODE-IT Certification, validating your skills and boosting your employability. Our
Placement Assistance team will provide you with valuable resources and guidance, including job
preparation tips, interview coaching, and access to job opportunities in top companies. ENCODE-IT’s
certification, combined with our job placement support, ensures that you are well-equipped to land
a high-paying role in the analytics field.
Course Curriculum:
1. Introduction to SAS
o Overview of SAS and its Applications
o Understanding the SAS Environment and Interface
o Basic Data Step Programming and SAS Syntax
o Data Types and Formats in SAS
o Introduction to SAS Libraries and Datasets
2. Data Handling and Manipulation in SAS
o Importing and Exporting Data in SAS
o Sorting and Merging Datasets
o Data Cleaning and Transformation Techniques
o Using Functions and Expressions for Data Manipulation
o Handling Missing Data and Data Imputation
3. Statistical Analysis with SAS
o Descriptive Statistics: Mean, Median, Mode, Standard Deviation
o Hypothesis Testing: t-tests, Chi-Square Tests, ANOVA
o Correlation and Regression Analysis
o Non-Parametric Tests and Tests for Normality
o Advanced Statistical Procedures in SAS
4. Data Visualization in SAS
o Creating Basic Charts and Graphs in SAS
o Customizing and Enhancing Visualizations
o Using SAS ODS (Output Delivery System) for Reporting
o Generating Summary Reports and Dashboards
o Introduction to SAS Visual Analytics
5. Advanced SAS Programming Techniques
o Macro Programming in SAS: Writing and Debugging Macros
o Working with Arrays and Loops in SAS
o Advanced Data Manipulation: SQL in SAS
o Error Handling and Debugging SAS Programs
o Optimizing Performance in SAS
6. Predictive Analytics with SAS
o Introduction to Predictive Modeling and Machine Learning
o Regression Models: Linear, Logistic, and Multivariate
o Time Series Forecasting Techniques
o Model Validation and Evaluation Metrics
o Implementing Predictive Models using SAS
7. SAS Procedures for Reporting and Analysis
o Using PROC SQL for Data Management
o PROC REPORT, PROC PRINT, and PROC TABULATE for Reporting
o Advanced Statistical Procedures: PROC GLM, PROC REG
o Using PROC CONTENTS, PROC SORT, and PROC FREQ
o Generating Summary Statistics and Cross-Tabulations
8. Working with SAS Enterprise Guide and SAS Studio
o Introduction to SAS Enterprise Guide (EG)
o Data Import, Export, and Analysis in SAS EG
o Using SAS Studio for Web-Based Programming
o Automating SAS Tasks with Enterprise Guide
o Reporting and Visualizations with SAS EG and SAS Studio
9. Data Mining with SAS
o Overview of Data Mining Techniques
o Introduction to SAS Enterprise Miner
o Data Preparation and Preprocessing for Data Mining
o Building and Evaluating Predictive Models
o Analyzing Market Basket Data and Cluster Analysis
10. Real-World SAS Projects
o Conducting Data Analysis for Business Insights
o Using SAS for Healthcare Data Analytics
o Financial Data Analysis and Modeling with SAS
o Marketing Analytics and Customer Segmentation Using SAS
o Building a Predictive Model for Sales Forecasting
11. Final Project and Certification Exam
o Final Project: Hands-on Data Analysis Using SAS
o Project Evaluation: Demonstrating Your Skills in SAS Programming and Analytics
o Final Exam: A Comprehensive Test on SAS Concepts and Tools
o Certification of Completion from ENCODE-IT and Job Placement Assistance
Key Features of the Course:
ï‚· Tools & Platforms: SAS Software, SAS Enterprise Guide, SAS Studio, SAS Visual Analytics
ï‚· Real-World Projects: Work on industry-relevant projects involving data analysis, predictive
modeling, and reporting
ï‚· Certification & Placement Support: ENCODE-IT certification and job placement assistance to
help you land your desired SAS role
ï‚· Expert Instructors: Learn from professionals with extensive experience in SAS and data
analytics
ï‚· Career Advancement: Acquire the skills needed to advance your career in data analytics,
business intelligence, and data science
The SAS Training course from ENCODE-IT will empower you to leverage SAS tools for data analytics,
report generation, and predictive modeling, giving you the technical expertise to excel in any data-
driven field. Whether you are aiming to work in finance, marketing, healthcare, or any other domain,
SAS proficiency will significantly enhance your career opportunities.