Master Business Analytics with SAS: Unlock Data-Driven Insights with Encode-IT

The world of business analytics is evolving rapidly, and SAS remains a leading platform for
organizations seeking to turn data into actionable insights. SAS Business Analytics equips
professionals with the tools and techniques necessary to extract meaningful insights from complex
data, make informed decisions, and drive business growth. The SAS Business Analytics course at
Encode-IT is designed to provide an in-depth understanding of data analysis, forecasting, reporting,
and visualization using SAS.

Throughout this course, you'll learn how to use SAS tools to perform business intelligence tasks such
as data manipulation, statistical analysis, and predictive modeling. You'll also gain expertise in
delivering impactful reports, visualizing data for effective decision-making, and using analytics for
business strategy. Whether you are a business analyst, data scientist, or decision-maker, this course
will help you leverage SAS to gain competitive advantages and optimize business outcomes.

By the end of this course, you will have the practical skills and experience needed to apply SAS in a
business context, enhancing your ability to support key decision-making processes with data-driven
insights.

Salary Prospects in India:
In India, professionals with expertise in SAS Business Analytics are in high demand across various
industries, including finance, healthcare, retail, and technology. The salary range for SAS Business
Analytics professionals typically varies between ₹6 to ₹18 lakhs annually, depending on experience
and expertise. Senior roles such as Business Analytics Manager or Data Scientist specializing in SAS
can command salaries exceeding ₹20 lakhs per year, especially with strong experience in data
analytics, predictive modeling, and data-driven decision-making.

As businesses continue to prioritize data-driven strategies, the demand for professionals skilled in
SAS Business Analytics is expected to grow, offering attractive career opportunities and competitive
compensation packages.

Placement Assistance & Certification:
Encode-IT provides comprehensive Placement Assistance to help you connect with top employers in
business analytics, data science, and data-driven decision-making roles. Our placement services
include interview preparation, resume building, and direct job referrals to top companies across
various sectors.

Upon successful completion of the course, you will receive a Certificate of Completion from Encode-
IT, which will act as a valuable credential, showcasing your expertise in SAS Business Analytics. This
certification will significantly enhance your employability and position you as a skilled professional in
the analytics field.

Course Curriculum:

Module 1: Introduction to SAS and Business Analytics
 Overview of SAS and its Role in Business Analytics
 Understanding the SAS Interface and Key Tools

 Overview of Business Analytics Concepts: Data, Analytics, and Decision-Making
 SAS Libraries, Datasets, and Data Access Techniques
 Introduction to Key Statistical and Analytical Functions in SAS

Module 2: Data Management and Preparation
 Data Import and Export Techniques: CSV, Excel, and Databases
 Cleaning and Transforming Data: Handling Missing Data and Outliers
 Creating New Variables Using Conditional and Computed Logic
 Merging, Sorting, and Aggregating Data in SAS
 Best Practices for Data Validation and Quality Control

Module 3: Statistical Analysis for Business Insights
 Descriptive Statistics: Mean, Median, Standard Deviation, and More
 Inferential Statistics: Hypothesis Testing and Confidence Intervals
 Regression Analysis: Linear and Logistic Regression Models
 Advanced Statistical Techniques: Analysis of Variance (ANOVA), Time Series, and Correlation
 Using PROC REG, PROC TTEST, and PROC GLM for Statistical Analysis

Module 4: Predictive Analytics and Forecasting
 Introduction to Predictive Analytics in Business Decision-Making
 Building Predictive Models: Time Series Forecasting and Regression Analysis
 Techniques for Forecasting Demand, Sales, and Market Trends
 Implementing ARIMA, Exponential Smoothing, and Regression Models in SAS
 Evaluating Model Performance and Refining Predictions

Module 5: Data Visualization and Reporting
 Introduction to SAS Visual Analytics for Business Intelligence
 Creating Interactive Dashboards and Visualizations with PROC SGPLOT, PROC GPLOT
 Developing Key Performance Indicator (KPI) Dashboards and Reports
 Customizing Visuals: Titles, Footnotes, and Graph Customization
 Delivering Reports with SAS Output Delivery System (ODS)

Module 6: Business Intelligence with SAS
 Integrating Business Intelligence Tools in SAS: Overview and Best Practices
 Using SAS to Extract Key Business Insights from Complex Data
 Data Modeling and Interpretation: Making Business Sense of Analytical Results

 Building Reports and Dashboards for Executive Decision-Makers
 Leveraging SAS for Real-Time Reporting and Business Forecasting

Module 7: Advanced Analytics Techniques for Business
 Implementing Cluster Analysis and Segmentation in SAS
 Predictive Modeling: Decision Trees, Neural Networks, and Regression Trees
 Working with Multivariate Analysis and Factor Analysis
 Advanced Data Mining Techniques with SAS Enterprise Miner
 Analyzing Customer Behavior and Market Trends with SAS

Module 8: SAS Macros for Automation in Business Analytics
 Introduction to SAS Macros and their Role in Business Analytics
 Writing Efficient Macros to Automate Repetitive Tasks
 Using Macros to Optimize Data Processing and Reporting
 Handling Dynamic Data Inputs with SAS Macros
 Advanced Macro Techniques for Complex Analytical Workflows

Module 9: Business Analytics Applications in Various Industries
 Implementing Business Analytics in Financial Services: Risk Management, Fraud Detection,
and Portfolio Analysis
 Using Analytics in Retail and E-Commerce: Customer Segmentation, Sales Forecasting, and
Inventory Management
 Health and Pharmaceutical Analytics: Clinical Trial Analysis, Patient Data Insights, and Cost
Optimization
 Marketing Analytics: Campaign Performance, Consumer Behavior, and ROI Measurement
 Real-Life Case Studies of Business Analytics Applications in Leading Industries

Module 10: Final Project and Certification Exam
 Final Project: Applying Business Analytics to Solve a Real-World Business Problem
 Integrating Data Analysis, Predictive Modeling, and Reporting in the Project
 Review and Debugging of the Final Project
 Certification Exam: Comprehensive Test on Business Analytics Using SAS
 Certification of Completion from Encode-IT and Placement Assistance

Key Features of the Course:
 Tools & Platforms: SAS, SAS Visual Analytics, SAS Studio, SAS Procedures, SAS Macros

 Real-World Projects: Practical applications of SAS for business intelligence, predictive
analytics, and data visualization
 Certification & Placement Support: Encode-IT certification and job placement assistance to
help you get hired
 Expert Instructors: Learn from experienced professionals with expertise in business analytics
and data-driven decision-making
 Career Advancement: Master the skills needed to take on key roles in data analysis,
business intelligence, and predictive modeling

By completing the SAS Business Analytics course at Encode-IT, you will be equipped with the
knowledge and skills needed to transform raw data into actionable business insights. This course will
prepare you for a successful career in business analytics, data-driven decision-making, and strategic
analysis, positioning you as an invaluable asset in any organization.