SAS Visual Analytics 1 for SAS Viya: Basics

Credit Scorecard Development and Implementation

Contemporary content designed by practitioners
Delivery by industry experts at campus
Capstone Project to apply conceptual learning
Mentoring by industry and faculty mentors
Option to add global certification
Placement support

SAS Visual Analytics 1 for SAS Viya: Basics- Overview

This business-focused course provides a high-level introduction to credit risk management; detailed end-to-end methodology training for risk scorecard development for retail and SME portfolios; and discussions about scorecard implementation and risk strategy development and about scorecard and portfolio management reporting. The focus of the course is the development of application scorecards, but issues relating to behavior scorecard development are also explored. Detailed mechanics of scorecard development are covered, but more importantly, students learn to think critically about each phase and use a combination of business and statistical criteria to make better decisions. These objectives are reflected in three sections.

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What You Will Learn

Introduction to SAS Visual Analytics: Get an overview of SAS Visual Analytics and its role in the SAS Viya ecosystem. Learn about the key features and benefits that make it a powerful tool for data exploration.
Data Preparation: Before you can create insightful visualizations, you need to prepare your data. Discover how to load, clean, and transform data from various sources into SAS Visual Analytics.
Creating Visualizations: Unleash your creativity by learning how to build a wide range of interactive visualizations, including bar charts, line graphs, scatter plots, and more. Understand how to customize and enhance these visualizations to communicate your insights effectively.

Dashboards and Reports: Learn the art of designing dynamic dashboards and reports that convey complex information at a glance. Master the use of filters, prompts, and parameters to create interactive and user-friendly interfaces.
Advanced Analytics Integration: Take your data exploration to the next level by integrating advanced analytics techniques such as forecasting, clustering, and decision trees directly into your visualizations.
Sharing and Collaboration: Discover different methods to share your visualizations and dashboards with others, ensuring seamless collaboration and knowledge dissemination.