Data Analysis and Reporting in SAS Visual Analytics
Learn to analyze data, create visualizations, and design reports with SAS Visual Analytics on SAS Viya to turn data into actionable business insights.
Learn to analyze data, create visualizations, and design reports with SAS Visual Analytics on SAS Viya to turn data into actionable business insights.
This comprehensive course teaches you how to effectively use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery, and create interactive reports. You'll learn essential analytical techniques and visualization methods to extract meaningful insights from your data. The course covers creating calculated items, applying filters, using various analytical graphs like bubble plots and relationship plots, and implementing forecasting techniques. You'll also master report design principles, working with multiple pages, implementing viewer customization, and using prompts and actions to create dynamic, interactive dashboards. Through hands-on practice scenarios and guided demonstrations, you'll develop the skills to transform raw data into compelling visual stories that drive business decisions. Perfect for analysts and business professionals who need to communicate data effectively.
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What you'll learn
Modify and prepare data for effective analysis in SAS Visual Analytics Create and interpret descriptive graphs for data exploration Develop calculated items and custom categories to enhance analysis Apply filters and hierarchies to focus on relevant data segments Design interactive reports with multiple pages and viewer customization Implement prompts and actions for dynamic data interaction Master report-level and graph-level display rules for better visualization Use forecasting and relationship analysis to identify data trends
Skills you'll gain
This course includes:
1.8 Hours PreRecorded video
23 assignments
Access on Mobile, Tablet, Desktop
Subscription access
Shareable certificate
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There are 3 modules in this course
In this course, you'll learn to harness the power of SAS Visual Analytics on SAS Viya for comprehensive data analysis and reporting. The curriculum is structured into three main modules. The first module introduces the business scenario and lab environment. The second module focuses on analyzing data using SAS Visual Analytics, teaching you how to work with data items, explore data through descriptive graphs, create calculated items, apply filters, and use various analytical graphs including bubble plots, treemaps, and relationship plots. You'll also learn forecasting techniques. The third module covers designing and creating reports, working with multiple pages, implementing prompts and actions, using page links, and applying display rules at various levels. Throughout the course, hands-on practice scenarios reinforce your learning.
Course Overview
Module 1 · 21 Minutes to complete
Analyzing Data Using SAS Visual Analytics
Module 2 · 4 Hours to complete
Designing Reports with SAS Visual Analytics
Module 3 · 3 Hours to complete
Fee Structure
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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