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See why over 25,000+ Students choose ACTE
Curriculum Designed By Experts
Expertly designed curriculum for future-ready professionals.
Industry Oriented Curriculum
An exhaustive curriculum designed by our industry experts which will help you to get placed in your dream IT company
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30+ Case Studies & Projects
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9+ Engaging Projects
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10+ Years Of Experience
- Data steps vs PROC steps
- Importing datasets into SAS
- Role of SAS in Data Science
- What is Data Science & its industry relevance
- SAS programming basics: syntax, rules, comments
- Installing and navigating SAS Studio / SAS Enterprise Guide
- Creating and modifying variables
- Reading and writing data using DATA step
- Input methods: list, column, formatted input
- Using INFILE, DATALINES, and external file imports
- Removing duplicates
- Data validation and error checking
- Identifying and handling missing values
- Standardizing and transforming variables
- Using PROC SORT, PROC FREQ, and PROC MEANS
- Creating cross-tabulations
- Frequency analysis with PROC FREQ
- Exploring distributions and outliers
- Data exploration with PROC PRINT, PROC CONTENTS
- Summary statistics using PROC MEANS, PROC UNIVARIATE
- Box plots, histograms, and scatter plots using PROC SGPLOT
- One-way and two-way ANOVA
- Correlation analysis using PROC CORR
- Introduction to inferential statistics
- Hypothesis testing: t-test, chi-square test
- Writing reusable macro programs
- Conditional logic inside macros
- Using %LET, %MACRO, %DO loops
- Macro variables and macro functions
- Introduction to SAS Macros and automation
- Data partitioning using PROC SURVEYSELECT or PROC HPBIN
- Building predictive models (linear/logistic)
- Stepwise and backward elimination techniques
- ROC curve analysis and model evaluation
- Scoring new data with developed models
- Overfitting and regularization basics
- Time series structure and components
- Plotting time series data in SAS
- ARIMA modeling using PROC ARIMA
- Stationarity and differencing
- End-to-end real-time project using SAS
- Dataset selection, cleaning, modeling, and insights
- Creating reports using ODS and RTF/HTML/PDF outputs
- Presenting your project results
- Resume preparation with SAS skills
- Portfolio development on GitHub (optional)
Data Science With SAS Training Projects
Become a Data Science With SAS Expert With Practical and Engaging Projects.
- Practice essential Tools
- Designed by Industry experts
- Get Real-world Experience
Design a Library Management Database
Create tables for books, borrowers, and transactions using SQL. Learn relational schema design and normalization to ensure efficient data organization.
SQL Query Practice
Write basic SELECT, JOIN, GROUP BY, and subquery statements on sample databases. Enhance data retrieval skills with structured queries for real-world applications.
ER Diagram to SQL Implementation
Convert an Entity-Relationship diagram into SQL tables with constraints. Translate visual models into working SQL database structures for practical deployment.
Build a CRM Database
Create a customer relationship management system with stored procedures and views. Design backend systems for tracking client interactions and activity.
Data Migration Script
Write SQL scripts to migrate data from one schema to another safely. Understand schema mapping and data consistency during migrations.
Performance Tuning & Indexing
Optimize query performance using indexing and explain plans. Improve slow queries by analyzing execution plans and indexing tables.
Inventory Management System with Triggers & Stored Procedures
Build a full-featured inventory database using triggers, stored procedures, and views for automation. Develop a smart system that auto-updates stock levels and transaction logs.
Data Warehousing & Star Schema Design
Design a star schema and implement fact and dimension tables using SQL. Support analytical workloads with efficient data modeling and structured storage.
Replication & Sharding of Databases
Implement database replication and horizontal partitioning techniques. Achieve scalability and availability in large-scale systems through distributed architectures.
Key Features
Practical Training
Global Certifications
Flexible Timing
Trainer Support
Study Material
Placement Support
Mock Interviews
Resume Building
Batch Schedule
Weekdays Regular (Class 1Hr - 1:30Hrs) / Per Session
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01 - Dec - 2025 Starts Coming Monday ( Monday - Friday) 08:00 AM (IST)
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03 - Dec - 2025 Starts Coming Wednesday ( Monday - Friday) 10:00 AM (IST)
Weekend Regular (Class 3Hrs) / Per Session
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06 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Weekend Fast-track (Class 6Hrs - 7Hrs) / Per Session
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07 - Dec - 2025 Starts Coming Saturday ( Saturday - Sunday) 10:00 AM (IST)
Enquiry Form
- Learning strategies that are appropriate and tailored to your company's requirements.
- Live projects guided by instructors are a characteristic of the virtual learning environment.
- The curriculum includes of full-day lectures, practical exercises, and case studies.
Data Science with SAS Training Overview
Goals Accomplished by Data Science with SAS Training Program
Data Science with SAS Training in Porur empowers learners to analyze complex datasets, perform advanced statistical modeling, and generate actionable business insights. Students gain proficiency in SAS programming, data mining, and predictive analytics, enabling them to solve real-world problems across industries like healthcare, finance, and marketing. The training also sharpens skills in data visualization and report generation, preparing candidates for data-driven decision-making roles. Learners benefit from structured paths like the Data Science with SAS Course in Porur, which emphasize practical applications and industry relevance.
Future Career Opportunities from Data Science with SAS Training Courses
- SAS Programmer: Develop and maintain SAS code for data analysis, reporting, and validation in various sectors, often supported by Data Science with SAS Certification in Porur programs.
- Data Scientist: Utilize SAS tools for predictive modeling, machine learning, and extracting insights from big data, reinforced through the Data Science with SAS Course in Porur.
- Business Intelligence Analyst: Translate data findings into strategic recommendations for business growth, with opportunities enhanced through Data Science with SAS Placement in Porur programs.
- Clinical Data Analyst: Analyze clinical trial data ensuring regulatory compliance and accurate reporting, often included in Data Science with SAS Certification Course modules.
- Data Engineer: Manage and optimize data pipelines, ensuring seamless data integration and availability, supported by Data Science with SAS Training Course sessions.
New Frameworks Introduced in Data Science with SAS Courses
Recent Data Science with SAS Certification in Porur programs have incorporated modern frameworks such as SAS Viya, which supports cloud-native analytics and machine learning. SAS Viya offers scalable processing power and integration with open-source languages like Python and R, enhancing collaborative analytics workflows. These frameworks enable users to perform advanced AI, deep learning, and big data analytics efficiently within the SAS ecosystem. Learners pursuing the Data Science with SAS Placement in Porur pathway gain hands-on exposure to these frameworks for industry readiness.
Trends and Essential Skills Related to Data Science with SAS Training Placement
- Cloud Analytics: Growing adoption of SAS cloud platforms enables scalable data processing and collaboration.
- AI and Machine Learning: Skills in applying SAS’s ML algorithms for automation and predictive insights are in high demand, emphasized in Data Science with SAS Training with Placement programs.
- Data Governance: Understanding data security, privacy, and regulatory compliance is critical in SAS projects.
- Integration with Open Source: Combining SAS with Python and R enhances analytic capabilities and flexibility, reinforced through Data Science with SAS Course in Porur modules.
- Visualization and Reporting: Expertise in SAS Visual Analytics to create interactive dashboards for stakeholder communication, often included in Data Science with SAS Certification in Porur programs.
Applications and Uses of Data Science with SAS Training Courses
Data Science with SAS is widely applied in healthcare for clinical trial analysis, in banking for fraud detection and risk management, and in marketing for customer segmentation and campaign analysis. The training enables professionals to handle large volumes of data, develop predictive models, and generate detailed reports that drive strategic business decisions across various sectors. Learners pursuing Data Science with SAS Training in Porur gain recognition for their expertise, while advanced professionals continue with the Data Science with SAS Course in Porur to refine their skills and remain competitive in analytics careers.
Career Opportunities After Data Science With SAS Training
SAS Data Scientist
Uses SAS to analyze large datasets, build predictive models, and deliver insights for business decisions.
SAS Programmer
Writes SAS code for data extraction, manipulation, and reporting, supporting analytics.
Business Analyst (SAS)
Applies SAS analytics to interpret business data, identify trends, and support process improvements.
Data Analyst
Cleans, analyzes, and visualizes data with SAS, producing clear reports for stakeholders and management.
Statistical Analyst
Uses SAS to apply statistical methods, validate hypotheses, and ensure accuracy in research data.
Clinical Data Manager
Manages clinical trial data with SAS, ensuring compliance, accuracy, and reliable reporting for healthcare.
Skill to Master
SAS Programming
Data Cleaning & Manipulation
Statistical Analysis
Predictive Modeling
Regression Analysis
Data Visualization
SQL with SAS
Macro Programming
Report Generation
Clinical Trial Data Management
Data Warehousing Concepts
Time Series Analysis
Tools to Master
SAS Base
SAS Enterprise Guide
SAS Visual Analytics
SAS Studio
SAS Macro Facility
SAS SQL Procedure
SAS Graph
SAS/STAT
SAS/ETS
SAS Data Integration Studio
SAS Model Manager
SAS Viya
Learn from certified professionals who are currently working.
Training by
Shiva, having 12 yrs of experience
Specialized in: Advanced SAS Programming and Statistical Analysis for Business Intelligence.
Note: Shiva excels in delivering hands-on SAS programming training with a focus on real-world datasets and applications in finance and healthcare, enabling learners to master data analytics efficiently.
We are proud to have participated in more than 40,000 career transfers globally.
Data Science With SAS Certification
- Access to certified SAS trainers
- Preparation for SAS certification exams
- Affordable and self-paced learning options
- Learn a widely used analytics tool in enterprises
- Real-world data manipulation and analytics practice
SAS training provides skills in data management, advanced analytics, and business intelligence. It’s ideal for roles requiring proficiency in handling large datasets and creating actionable insights in corporate environments.
Certification adds credibility but does not alone secure a job. Practical skills, experience, and networking complement certification to improve job chances.
Basic programming knowledge and understanding of statistical concepts are recommended but not mandatory.
- Work on sample datasets
- Take practice exams
- Review analytics concepts
- Understand SAS macros and SQL
- Learn troubleshooting techniques
- Study SAS programming fundamentals
- Practice data manipulation and reporting
Yes, SAS offers online proctored exams for certification.
- Basic knowledge of databases and statistics
- Willingness to learn SAS language
- Familiarity with data analysis concepts
- Analytical thinking
- Exposure to programming basics is helpful
SAS remains a key tool in industries like finance, healthcare, and retail. Training opens doors to specialized analytics roles with competitive salaries and career growth.
Frequently Asked Questions
- You will learn data manipulation, statistical analysis, SAS programming, predictive modeling, and report generation.
- No prior SAS experience is required, but basic knowledge of statistics and programming is helpful.
- Students work on real-world case studies and projects that can be showcased in their portfolio.
- Yes, a recognized certificate will be awarded upon completion, validating your SAS proficiency.
- SAS professionals are in demand in healthcare, banking, and retail for roles like Data Analyst and Business Analyst.