Powered by
Completion
CERTIFICATE
Machine Learning Using SAS Viya
Master supervised machine learning techniques using SAS Viya's Model Studio for data preparation, model development, and deployment.
Course Cost
₹ 2,699
Intermediate
Skill Level
30 Hours
Self-paced lessons
This comprehensive course teaches machine learning implementation using SAS Viya's Model Studio. Students learn the complete analytical lifecycle, from problem understanding to model deployment. The curriculum covers data preprocessing, feature selection, and various supervised learning algorithms including decision trees, neural networks, and support vector machines. Through hands-on exercises and a continuous business case study, participants master the practical aspects of building, comparing, and deploying machine learning models without requiring programming skills.
8,450 Enrolled
English
What you'll learn
Build and optimize decision tree and ensemble models
Develop neural network architectures for prediction
Implement support vector machines effectively
Master data preprocessing and feature selection
Evaluate and compare model performance
Deploy and monitor models in production
Skills you'll gain
This course includes:
272 Minutes PreRecorded video
42 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 9 modules in this course
This course provides comprehensive coverage of supervised machine learning using SAS Viya through nine detailed modules. Students progress from foundational concepts through advanced techniques in model development and deployment. The curriculum emphasizes practical application through Model Studio's pipeline flow interface, enabling learners to build, compare, and deploy machine learning models without programming. The course includes extensive hands-on exercises and a continuous business case study focusing on customer churn prediction.
Course Overview
Module 1 · 1 Hours to complete
Getting Started with Machine Learning and SAS Viya
Module 2 · 5 Hours to complete
Data Preprocessing and Algorithm Selection
Module 3 · 5 Hours to complete
Decision Trees and Ensembles of Trees
Module 4 · 7 Hours to complete
Neural Networks
Module 5 · 4 Hours to complete
Support Vector Machines
Module 6 · 3 Hours to complete
Model Assessment and Deployment
Module 7 · 4 Hours to complete
Additional Nodes
Module 8 · 1 Hours to complete
Certification Practice Exam
Module 9 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Reviews
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.6
17
Reviews
8,506
Students
1
Course
4.6
17
Reviews
8,506
Students
1
Course
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.