Network, Path, and Text Analysis in SAS Visual Analytics
This course is part of SAS Visual Business Analytics Professional Certificate.
This comprehensive course teaches you how to perform advanced analyses in SAS Visual Analytics. You'll learn about the specific data structures required for network, path, and text analytics and gain practical skills in implementing these techniques. The course covers network analysis for visualizing relationships between entities, path analysis for understanding frequent pathways, and text analytics for deriving insights from unstructured text data. Through hands-on demonstrations and practice scenarios, you'll develop the ability to create effective visualizations, understand underlying data requirements, and apply these analytical methods to business scenarios. Perfect for data professionals looking to enhance their analytical capabilities with SAS Visual Analytics, this course provides both theoretical knowledge and practical application experience.
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English
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What you'll learn
Describe the data structure requirements for network, path, and text analytics
Create network analyses to visualize relationships between entities
Perform path analysis to understand frequent paths in your data
Implement text analytics to derive insights from unstructured text
Prepare data appropriately for each analysis type
Interpret results from different analytical techniques
Skills you'll gain
This course includes:
0.75 Hours PreRecorded video
7 assignments
Access on Mobile, Tablet, Desktop
Batch access
Shareable certificate
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There are 4 modules in this course
In this course, students learn advanced analytical techniques in SAS Visual Analytics with a focus on network, path, and text analyses. The curriculum begins with an introduction to the required data structures for each analysis type, then progresses through dedicated modules for each technique. The network analysis module teaches students how to analyze relationships between entities by creating effective network visualizations. The path analysis module focuses on understanding frequent pathways through data. The text analytics module covers techniques for analyzing unstructured text data to extract meaningful insights. Throughout the course, students participate in practical demonstrations using the virtual lab environment and complete hands-on exercises that reinforce the concepts presented.
Course Overview
Module 1 · 21 Minutes to complete
Performing Network Analysis
Module 2 · 1 Hours to complete
Performing Path Analysis
Module 3 · 1 Hours to complete
Performing Text Analytics
Module 4 · 1 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: SAS Visual Business Analytics Professional Certificate
Instructor
Visual Analytics Expert and Data Visualization Specialist
Nicole Ball serves as Principal Technical Training Consultant at SAS, specializing in SAS Visual Analytics and advanced reporting techniques. Her expertise spans data visualization, geographic mapping, network analysis, and forecasting methodologies. Through her comprehensive Coursera course series, including "Getting Started with SAS Visual Analytics," "Creating Advanced Reports," and "Using Data for Geographic Mapping and Forecasting," she helps professionals master the full spectrum of visual analytics capabilities. Her teaching portfolio includes specialized courses in network, path, and text analyses, demonstrating her broad expertise in advanced analytical techniques. As a key contributor to SAS's educational initiatives, she develops curriculum that bridges the gap between basic reporting and advanced analytics applications. Her courses emphasize practical skills development, helping professionals create impactful visual presentations of complex data while mastering advanced features of SAS Visual Analytics. Her teaching methodology combines theoretical understanding with hands-on experience, enabling learners to develop sophisticated reporting and analysis capabilities.
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Frequently asked questions
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