Geographic Mapping and Forecasting with SAS Visual Analytics
This course is part of SAS Visual Business Analytics Professional Certificate.
This comprehensive course focuses on teaching intermediate-level users how to effectively use SAS Visual Analytics for geographic mapping and forecasting. Students will learn the essential data structures needed for geographic analysis and how to use SAS Data Studio to restructure data for effective visualization. The course provides hands-on experience with creating and analyzing geographic maps, implementing automated explanations to gain deeper insights, and developing accurate forecasting models. Through a series of practical business scenarios, learners will master techniques for transforming raw data into meaningful geographic visualizations and predictive forecasts. By completing this course, participants will gain valuable skills in data preparation, geographic data visualization, and forecasting techniques that are directly applicable to real-world business analysis and decision-making processes. The course is designed for professionals who already have some experience with SAS and are looking to enhance their analytical capabilities.
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English
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What you'll learn
Learn how to use automated explanation to identify key insights in your data
Master SAS Data Studio for restructuring data for geographic mapping
Create effective geographic visualizations with SAS Visual Analytics
Understand the data structure requirements for accurate forecasting
Develop skills to transpose data for time-series analysis
Implement "What If" analysis to test different business scenarios
Skills you'll gain
This course includes:
1 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 4 modules in this course
In this course, students learn advanced techniques for data analysis using SAS Visual Analytics, with a specific focus on geographic mapping and forecasting. The curriculum is structured around four comprehensive modules that build on fundamental SAS knowledge. Students begin by exploring automated explanation features that help identify patterns and insights in data. They then learn how to properly structure data for geographic mapping using SAS Data Studio, including casing transforms and geography data items. The course progresses to teaching forecasting techniques, including data transposition methods, analyzing underlying factors, and conducting "what if" analysis. Throughout the modules, students practice with real-world business scenarios that demonstrate practical applications of these advanced analytics techniques. The hands-on approach ensures students can independently create and analyze both geographic visualizations and forecasting models by the end of the course.
Course Overview and Introduction to Advanced Topics
Module 1 · 21 Minutes to complete
Automated Explanation
Module 2 · 56 Minutes to complete
Restructuring Data for Geographic Mapping
Module 3 · 2 Hours to complete
Restructuring Data for Forecasting
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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