Unlock the Power of Data with ENCODE-IT’s Data Science with SAS Course

Data Science is transforming businesses, and SAS (Statistical Analysis System) is one of the most
powerful tools used for analyzing large datasets, uncovering insights, and making data-driven
decisions. ENCODE-IT’s Data Science with SAS course is designed to provide you with the practical
skills needed to analyze complex data using SAS tools and techniques. Whether you are a beginner
seeking to learn the basics or an experienced professional looking to upgrade your data analysis
skills, this course is tailored to meet your learning needs.

In this comprehensive course, you will dive into the world of data wrangling, statistical analysis,
predictive modeling, and data visualization using SAS. The course offers in-depth training on various
SAS tools like SAS Base, SAS Advanced Analytics, and SAS Visual Analytics, making it a well-rounded
program for anyone interested in data science.

Course Overview
The Data Science with SAS course at ENCODE-IT is designed to provide both theoretical knowledge
and hands-on experience with SAS tools. You will learn to import, clean, manipulate, and analyze
data using SAS. The course covers various data science techniques, including data exploration,
statistical analysis, machine learning, and predictive modeling. With a strong focus on real-world
applications, you will also work on projects that will help you apply SAS tools to solve data-driven
problems.

By the end of the course, you will have the skills to carry out data analysis projects using SAS, gain
insights from large datasets, and communicate your findings effectively through visualizations and
reports.

Salary Scale in India
Data Science professionals using SAS tools are in demand across various industries such as finance,
healthcare, and marketing. The average salary for a Data Scientist with SAS skills in India ranges
from ₹6 lakh to ₹15 lakh per year for entry-level roles. With 2-5 years of experience, salaries can
range from ₹15 lakh to ₹25 lakh annually. Senior roles and specialized positions in large
organizations can offer salaries ranging from ₹25 lakh to ₹40 lakh annually. With the growing use of
SAS in data-driven decision-making, SAS-certified professionals are highly sought after in the
industry.

Placement Assistance & Certification in India
At ENCODE-IT, we provide placement assistance to help you secure a job after completing the
course. We offer resume building, mock interviews, and job placement support to ensure you are
ready for the job market. Upon successful completion of the course, you will receive an ENCODE-IT
Certificate of Completion. This certification, combined with the hands-on projects you’ll work on,
will help you stand out to employers. Our industry connections and placement assistance ensure
that you can quickly transition from learning to working in data science.

Course Curriculum

1. Introduction to Data Science and SAS
o What is Data Science? Overview and Applications
o Introduction to SAS: Setting up SAS Environment
o Understanding SAS Programming Language and Basic Syntax
o Introduction to SAS Studio and SAS Enterprise Guide
o Getting Started with Data Sets and Libraries in SAS
o Data Exploration with PROC PRINT, PROC CONTENTS, and PROC FREQ

2. Data Import and Data Management
o Importing Data from Various Sources: CSV, Excel, SQL, etc.
o Data Manipulation in SAS: Sorting, Merging, and Concatenating Data
o Working with Different Data Types in SAS
o Data Cleaning Techniques: Handling Missing Data and Outliers
o Data Transformation: Creating New Variables, Aggregation, and Subsetting Data
o Data Formatting and Renaming Variables

3. Statistical Analysis in SAS
o Introduction to Descriptive Statistics: Mean, Median, Mode, and Standard Deviation
o Visualizing Data with SAS: Histograms, Box Plots, and Scatter Plots
o Inferential Statistics: Hypothesis Testing, Confidence Intervals
o ANOVA (Analysis of Variance) and T-Tests
o Correlation and Regression Analysis in SAS
o Understanding Probability Distributions (Normal, Poisson, etc.)

4. Predictive Modeling and Machine Learning with SAS
o Introduction to Predictive Analytics and Machine Learning
o Linear Regression: Building and Interpreting Linear Models
o Logistic Regression: Classifying Outcomes Using Binary Data
o Decision Trees and Random Forest Models
o K-Nearest Neighbors (KNN) for Classification
o Support Vector Machines (SVM) and Model Tuning
o Model Validation and Evaluation Metrics: Accuracy, Precision, Recall, AUC

5. Text Analytics and Natural Language Processing (NLP) in SAS

o Introduction to Text Mining and NLP with SAS
o Text Preprocessing: Tokenization, Stopword Removal, Lemmatization
o Word Frequency Analysis and Word Clouds
o Sentiment Analysis and Text Classification
o Topic Modeling and Text Clustering
o Using SAS Text Miner for NLP Applications

6. Time Series Analysis with SAS
o Introduction to Time Series Data: Key Concepts and Components
o Time Series Decomposition: Trend, Seasonal, and Residual Components
o Forecasting with SAS: ARIMA, Exponential Smoothing
o Evaluating Forecast Accuracy: MAPE, RMSE
o Seasonal and Non-Seasonal Time Series Models
o Time Series Visualization and Reporting

7. Big Data Analytics with SAS
o Introduction to Big Data and SAS Big Data Analytics
o Working with Large Datasets: Hadoop and SAS Integration
o Using SAS Viya for Big Data Analytics and Processing
o Implementing Distributed Computing in SAS
o Data Warehousing and ETL Processes in SAS

8. Data Visualization with SAS
o Visualizing Data with SAS Procedures: PROC SGPLOT, PROC GCHART
o Creating Interactive Dashboards and Reports
o SAS Visual Analytics for Interactive Data Exploration
o Designing Data Visualizations for Business Insights
o Best Practices for Data Visualization and Communication

9. Model Deployment and Reporting with SAS
o Introduction to Model Deployment and Model Interpretability
o Creating Predictive Models in SAS Viya and Deploying on Cloud Platforms
o Creating and Automating Reports with SAS ODS (Output Delivery System)
o Using SAS for Business Intelligence (BI) and Reporting
o Deploying Models for Real-Time Predictions and Decision Making

10. Real-World Data Science Projects with SAS
o Building a Predictive Model for Customer Churn Prediction
o Fraud Detection using Classification Models in SAS
o Time Series Forecasting for Financial Data
o Sales and Revenue Prediction for E-commerce
o Developing a Recommendation Engine using SAS

11. Final Project and Certification Exam
o Final Project: Applying SAS to a Real-World Data Science Problem
o Model Development, Evaluation, and Reporting
o Final Exam: Comprehensive Evaluation of SAS Data Science Skills
o Certification of Completion from ENCODE-IT and Job Placement Assistance

Key Features
 Tools & Platforms: SAS Base, SAS Visual Analytics, SAS Studio, SAS Viya, SAS Enterprise
Guide, SAS Text Miner
 Real-World Projects: Gain hands-on experience working with real-world data science
problems across various industries.
 Certification & Placement Support: Receive an ENCODE-IT certification upon completion
and benefit from job placement assistance.
 Expert Instructors: Learn from instructors with deep expertise in SAS and data science
methodologies.
 Career Advancement: Acquire skills in data science and analytics, positioning yourself for
roles in data analysis, predictive modeling, and machine learning.

ENCODE-IT’s Data Science with SAS course offers an excellent opportunity to dive into the world of
data science with one of the most widely used analytics platforms. Whether you are looking to start
a career in data science or enhance your current skillset, this course will equip you with the
knowledge and practical experience needed to succeed in the field. Enroll today and take the first
step toward becoming a data science professional!