Data Science with SAS Certified Course

Course Description:

The Data Science with SAS Course is designed to equip learners with the knowledge and skills to analyze, interpret, and visualize data using SAS, one of the most powerful tools in analytics. The course covers data handling, cleaning, and transformation, exploratory data analysis, statistical modeling, predictive analytics, and machine learning applications. Learners will also gain practical exposure through case studies in domains like healthcare, banking, and retail, along with a capstone project. By the end of the program, participants will be proficient in using SAS for real-world data-driven decision-making and prepared for industry-recognized certifications.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Data Science with SAS Certified Course:

• Data Analyst
• SAS Programmer / SAS Analyst 
• Business Analyst 
• Data Scientist 
• Statistical Analyst 
• Clinical Data Analyst 
• Risk Analyst / Fraud Analyst 
• BI & Reporting Specialist

Essential Skills you will Develop Data Science with SAS Certified Course:

• SAS Programming Skills 
• Data Management 
• Statistical Analysis 
• Exploratory Data Analysis (EDA) 
• Predictive Modeling
• Machine Learning with SAS
• Business Intelligence & Reporting
• Domain-Specific Applications
• Problem-Solving & Critical Thinking
• Capstone Project Experience

Tools Covered:

• SAS Base
• SAS Enterprise Guide (EG)
• SAS Enterprise Miner
• SAS Visual Analytics
• SAS Studio 
• SAS Vida
• Integration

Syllabus:

Module 1: Introduction to Data Science & SAS What is Data Science Role of SAS in analytics and Data Science. Overview of SAS environment, libraries, and datasets.

Module 2: SAS Programming Basics SAS data sets: creation and manipulation. Data step and Proc step. Importing and exporting data (Excel, CSV, databases). Functions, loops, and conditional statements.

Module 3: Data Preparation & Cleaning Data exploration, profiling, and summarization. Missing data handling. Data transformation and recoding. Data merging, concatenation, and subnetting.

Module 4: Exploratory Data Analysis (EDA) Descriptive statistics with SAS. Frequency analysis, cross-tabulation. Visualizations: histograms, scatter plots, boxplots.

Module 5: Statistical Analysis Using SAS Hypothesis testing (t-test, ANOVA, chi-square). Correlation and regression analysis. Non-parametric methods.

Module 6: Predictive Modeling Logistic regression. Decision trees and random forests. Cluster analysis (k-means, hierarchical). Time series forecasting.

Module 7: Machine Learning with SAS Introduction to SAS Visa. Supervised vs. unsupervised learning. Model selection and evaluation. Advanced ML algorithms in SAS.

Module 8: Case Studies & Industry Applications Healthcare & Pharma analytics. Banking and financial risk modeling. Retail and customer behavior analytics.

Module 9: SAS for Business Intelligence (BI) Reporting with SAS procedures. Dashboards and data visualization. SAS integration with other tools.

Module 10: Capstone Project & Certification Preparation End-to-end Data Science project using SAS. Preparing for SAS Certified Data Scientist exam. Resume-building and interview guidance.

Industry Projects:

• Healthcare & Pharma Analytics
• Banking & Finance
• Retail & E-Commerce
• Telecom Industry
• Insurance Analytics
• Capstone Project (End-to-End)

 Who is this program for?

• Students & Fresh Graduates
• Working Professionals 
• Researchers & Academics 
• Programmers & SAS Users

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com