Machine Learning using SAS Training in Gurgaon, Delhi

Machine Learning using SAS

SAS Predictive Analytics and Machine Learning

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Harness the proven analytical power of the SAS Viya platform and the SAS VDMML (Visual Data Mining and Machine Learning) suite to build, train, and deploy sophisticated machine learning models. This course on Machine Learning using SAS is specifically designed for analytics professionals and data scientists who require enterprise-grade reliability, security, and scalability in their ML workflows. You will move beyond open-source limitations and master the advanced capabilities of the SAS environment, focusing on maximizing model accuracy, interpreting complex results, and ensuring governance through its visual and code-based interfaces (like SAS Studio and Python/R integration). Prepare to significantly accelerate your career by becoming proficient in the platform trusted by major corporations and regulated industries worldwide for high-stakes decision-making.

This program is designed for data professionals, analysts, and business decision-makers who want to leverage SAS's powerful statistical and machine learning capabilities to solve complex problems. Through a blend of theory, hands-on exercises, and real-world case studies, learners will explore supervised and unsupervised learning techniques, automate model selection, and deploy predictive models using SAS tools like Enterprise Miner, SAS Viya, and Model Studio. Whether you're working in finance, healthcare, retail, or government, this course equips you with the skills to turn data into actionable insights using one of the industry's most trusted platforms.

This course blends theory with hands-on practice to help you build intelligent systems that learn and adapt. Whether you're looking to break into AI or sharpen your ML toolkit, this program delivers the skills and confidence to thrive.

Target Audience:-
-Developers and engineers with basic Python knowledge
-Data analysts and scientists transitioning into machine learning and Distributed computing
-Students and professionals preparing for AI-focused careers
-Tech enthusiasts eager to explore predictive modeling and automation
-Statisticians and Mathematicians
-SAS Developers

Program Outcomes:-
-Understand the SAS ecosystem and its role in machine learning and advanced analytics
-Implement key machine learning algorithms including decision trees, neural networks, and ensemble methods
-Build and automate machine learning workflows using SAS Model Studio and Enterprise Miner
-Perform advanced feature engineering and selection
-Operationalize and govern models
-Apply machine learning techniques to real-world business problems across industries

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

-You are familiar with basic SAS, basic SQL and basic Statistics and basics of Machine Learning

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Introduction to SAS and Machine Learning
✔ Overview of SAS ecosystem
✔ Introduction to machine learning concepts
✔ SAS vs other ML platforms
✔ Navigating SAS interfaces for ML
✔ Basic DataFrame Operations

Module 2: Data Preparation and Exploration
✔ Importing and managing data in SAS
✔ Data cleaning and transformation using SAS procedures
✔ Handling missing values and outliers
✔ Exploratory data analysis (EDA)
✔ Visual Data Preparation
✔ Feature Creation and Encoding

Module 3: Supervised Learning Techniques
✔ Introduction to Model Building
✔ Regression models (Linear, Logistic)
✔ Decision Trees and Random Forests
✔ Support Vector Machines (SVM)
✔ Model evaluation metrics (ROC, AUC, confusion matrix)

Module 4: Unsupervised Learning and Pattern Discovery
✔ Clustering techniques (K-Means, Hierarchical)
✔ Principal Component Analysis (PCA)
✔ Association rule mining
✔ Anomaly detection

Module 5: Model Building and Automation with SAS Viya
✔ Introduction to SAS Viya and Model Studio
✔ Building ML pipelines with drag-and-drop interface
✔ Feature selection and transformation nodes
✔ Automating model comparison and selection
✔ Hyperparameter Optimization (HPO)
✔ Assessing Model Bias and Fairness

Module 6: Model Deployment and Monitoring
✔ Introduction to SAS Model Manager
✔ Model Publishing and Scoring
✔ Model scoring and deployment strategies
✔ Exporting models for production use
✔ Monitoring model performance over time
✔ Retraining and updating models

Module 7: Advanced Modeling
✔ Deep Dive into PROC DMREG and DMMODEL
✔ Neural Networks (PROC NNET)
✔ Support Vector Machines (SVM) & PROC SVMACHINE
✔ Model Selection and Ensemble Methods
✔ Python and R Integration

Module 8: Capstone Project
✔ Project Scope
✔ Choose a real-world dataset
✔ Apply full ML lifecycle
✔ Present findings and business recommendations

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.