SAS Viya: Advanced Cloud-enabled In-memory Analytics Engine

Unlock the Power of SAS Viya: Advanced Analytics & Machine Learning Techniques. Become a Data Analyst or Data Scientist.


What you'll learn
Understanding SAS Viya: Students will gain an understanding of the architecture, components, and capabilities of SAS Viya compared to traditional SAS software.
Data Preparation and Management: Students will learn how to import, clean, manipulate, and explore data using SAS Viya tools and techniques.
Exploratory Data Analysis (EDA): Students will learn how to perform descriptive statistics, data visualization, and exploratory data analysis using SAS Viya.
Machine Learning: Learn the principles of machine learning and how to to build, train, evaluate, and deploy predictive models using SAS Viya's ML capabilities.
Advanced Machine Learning Techniques: Delve into advanced machine learning techniques such as feature engineering, ensemble learning, and model validation.
Deep Learning: Students will be introduced to deep learning concepts and techniques and learn how to build and train neural network models using SAS Viya.
Model Deployment and Monitoring: Students will learn how to deploy predictive models into production environments, monitor model performance using SAS Viya.
Real-World Applications and Case Studies: Explore real-world case studies and examples of SAS Viya applications across different industries and domains.

Requirements
Enthusiasm and determination to make your mark on the world!

Description
A warm welcome to the
SAS Viya
course by
Uplatz
.
SAS Viya
is a cloud-enabled, in-memory analytics engine that offers a wide range of analytical capabilities. It's designed to handle large volumes of data and perform complex analytics tasks quickly and efficiently.
Here's how it works and some of its features:
Architecture
: SAS Viya is built on a microservices architecture, which means that different components of the platform are modular and can be scaled independently. This architecture allows for flexibility and scalability, making it suitable for various analytical needs.
Integration
: SAS Viya integrates with a variety of data sources, including traditional relational databases, Hadoop clusters, and cloud-based storage solutions. This allows users to access and analyze data from multiple sources without having to move it around.
In-Memory Processing
: One of the key features of SAS Viya is its in-memory processing capabilities. By keeping data in-memory, the platform can perform computations much faster than traditional disk-based systems, enabling real-time analytics on large datasets.
Machine Learning
: SAS Viya includes a comprehensive set of machine learning algorithms and techniques for building predictive models. These algorithms are optimized for performance and scalability, allowing users to train models on large datasets with ease.
Deep Learning
: In addition to traditional machine learning techniques, SAS Viya also supports deep learning models. This allows users to build and train neural networks for tasks such as image recognition, natural language processing, and time series forecasting.
Visual Analytics
: SAS Viya provides a suite of interactive visualization tools that allow users to explore data and gain insights quickly. These tools include dashboards, charts, and graphs that can be easily customized to suit specific analytical needs.
Open Integration
: SAS Viya is designed to work with open-source technologies and standards, making it easy to integrate with existing systems and workflows. This allows organizations to leverage their existing investments in tools and infrastructure while still benefiting from the advanced analytics capabilities of SAS Viya.
SAS Viya is a powerful analytics platform that offers scalability, performance, and a wide range of analytical capabilities, making it suitable for a variety of use cases across industries.
SAS Viya offers a wide range of capabilities for tasks like:
Data exploration and visualization:
Uncover insights from your data through interactive dashboards and reports.
Advanced analytics:
Leverage machine learning, artificial intelligence, and statistical modeling for deeper analysis.
Data preparation and management:
Clean, transform, and manage your data efficiently.
Collaboration and sharing:
Share insights and reports with colleagues and stakeholders easily.
How SAS Viya works:
SAS Viya is built on a microservices architecture, which means it's modular and scalable. This allows you to deploy and use only the components you need, as well as scale the platform up or down based on your demands.
The platform can be deployed on-premises, in the cloud, or in a hybrid environment. It uses Kubernetes for container orchestration, which provides flexibility and portability.
Here's a basic overview of the workflow:
Data is imported
from various sources like databases, spreadsheets, or cloud storage.
Data preparation
tasks like cleaning and transformation are performed.
Analysis
is done using pre-built tools or custom code.
Results and insights
are visualized in dashboards and reports.
Collaboration and sharing
of insights takes place with other users.
Key Features of SAS Viya
Here are some of the key features that make SAS Viya stand out:
Open-source and cloud-native:
Provides flexibility and scalability for modern environments.
Comprehensive analytics:
Offers a wide range of tools for data exploration, visualization, and machine learning.
Integrated and user-friendly:
Provides a seamless experience for both analysts and business users.
Secure and scalable:
Meets stringent security standards and can handle large datasets effectively.
Flexible deployment:
Can be deployed on-premises, in the cloud, or in a hybrid environment.
Course Objectives
Understand the key concepts and architecture of SAS Viya.
Navigate the SAS Viya user interface and workspace.
Import and manage data in SAS Viya.
Explore and visualize data using SAS Visual Analytics.
Perform basic data manipulation and transformation tasks.
Build and run simple analytical models.
Share and collaborate on data and insights with others.
SAS Viya - Course Curriculum
1. Introduction to SAS Viya
Overview of SAS Viya and its capabilities
Key concepts and architecture of SAS Viya
Getting started with the SAS Viya user interface
Navigating the SAS Viya workspace
Managing user accounts and permissions
2. Data Management in SAS Viya
Importing data from various sources (e.g., databases, spreadsheets, cloud storage)
Understanding data formats and structures
Working with data libraries and tables
Cleaning and transforming data
Creating calculated variables
3. Data Exploration and Visualization with SAS Visual Analytics
Introduction to SAS Visual Analytics
Creating basic visualizations (e.g., bar charts, line charts, scatter plots)
Working with different chart types and options
Building interactive dashboards and reports
Sharing and exporting visualizations
4. Basic Analytics in SAS Viya
Introduction to statistical analysis concepts
Performing descriptive statistics
Creating crosstabs and pivot tables
Building simple regression models
Interpreting and communicating analytical results
5. Collaboration and Sharing in SAS Viya
Sharing data and insights with other users
Working with user groups and permissions
Utilizing collaboration tools in SAS Viya
Best practices for data governance and security
Who this course is for:
Beginners & newbies aspiring for a career in data & analytics
Data Analysts
Data Scientists
Machine Learning Engineers
Data Visualization Developers & Analysts
Anyone interested in learning SAS Viya platform
SAS Viya Consultants
Business Intelligence Analysts
Data Consultants
SAS Viya Administrators
Data Engineers
ETL/ELT Developers
Statisticians & Research Analysts
Data Science Managers
MI Reporting Developers

More Info