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Nicole Ball

In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.

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What's inside

Syllabus

Course Overview and Introduction to Advanced Topics
In this module, you learn about the business scenario that you will follow for this course and where the files are located in SAS Viya for Learners.
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Traffic lights

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Provides comprehensive knowledge of geographical mapping in SAS Visual Analytics
Develops data restructuring skills for geographical mapping and forecasting using SAS
Provides hands-on learning through real-world scenario
Suitable for learners seeking to enhance their mapping and forecasting skills in SAS Visual Analytics
Taught by Nicole Ball, an experienced instructor in SAS
Course requires prior knowledge of SAS Visual Analytics and SAS Data Studio

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Reviews summary

Sas visual analytics for geo maps and forecasting

According to learners, this course provides a solid introduction to using SAS Visual Analytics for geographic mapping and forecasting. Many found the course content well-structured and appreciated the focus on practical applications. Students particularly highlighted the usefulness of the hands-on labs and demonstrations in understanding key concepts like data restructuring and utilizing the automated explanation feature. While the course is generally easy to follow, some mentioned that certain sections, particularly data preparation steps, required careful attention or prior SAS knowledge. Overall, it is considered a valuable step for professionals looking to leverage SAS tools in analytics roles.
Provides a solid overview of key SAS features.
"Gave me a great overview of how to use the mapping and forecasting features in VA."
"Learned a lot about the automated explanation which I hadn't used before."
"Excellent introduction to the specific capabilities for spatial and time-series analysis."
Concepts are explained well with helpful demonstrations.
"The instructor explained the concepts clearly, and the demos were easy to follow."
"Really liked how the steps were demonstrated practically in Visual Analytics."
"The explanations for both mapping and forecasting were concise and helpful."
Exercises using the software are effective for learning.
"The hands-on labs were instrumental in solidifying my understanding of the material."
"Working directly in SAS Visual Analytics during the labs was the best part."
"Practical labs make the learning experience much more engaging and effective."
Course content is directly applicable to real-world tasks.
"This course is very practical and shows exactly how to use the tools for real-world mapping and forecasting."
"I can immediately apply the techniques learned here to my work projects."
"Provides useful, applicable skills for using SAS Visual Analytics in a business setting."
Preparing data for the analyses can be tricky.
"The data restructuring module was a bit confusing and required careful review."
"Getting the data in the correct format for geo mapping was more challenging than expected."
"Needed to spend extra time understanding the data preparation steps using SAS Data Studio."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics with these activities:
Review basic data manipulation techniques
Establishes a stronger foundation for the techniques used in the course, making it easier to understand the more advanced concepts.
Browse courses on Data Manipulation
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  • Review basic SAS syntax for data manipulation, such as creating and modifying datasets.
  • Practice using SAS Data Studio to import, clean, and transform data.
Explore the SAS Visual Analytics documentation
Provides a comprehensive overview of the SAS Visual Analytics platform, making it easier to navigate and use the tools effectively.
Show steps
  • Read through the SAS Visual Analytics documentation, focusing on the sections relevant to this course.
  • Follow the tutorials provided in the documentation to gain hands-on experience with the platform.
Complete practice exercises in SAS Visual Analytics
Reinforces the concepts and techniques learned in the course, improving proficiency and confidence in using SAS Visual Analytics.
Show steps
  • Download the practice exercises provided by the instructor or find additional exercises online.
  • Work through the exercises, applying the techniques learned in the course.
  • Review the solutions to the exercises to identify areas for improvement.
Four other activities
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Show all seven activities
Develop a dashboard in SAS Visual Analytics
Provides an opportunity to apply the skills learned in the course to a real-world scenario, enhancing understanding and practical experience.
Show steps
  • Identify a business problem that can be addressed using a data visualization.
  • Design and develop a dashboard in SAS Visual Analytics to present the data and insights.
  • Share the dashboard with others for feedback and improvement.
Attend a SAS user group meeting
Connects students with industry professionals, providing valuable insights and networking opportunities.
Show steps
  • Locate a SAS user group meeting near you.
  • Attend the meeting and introduce yourself to others.
  • Participate in discussions and ask questions.
Explore SAS Visual Analytics community resources
Provides access to additional learning materials, support, and networking opportunities.
Show steps
  • Join the SAS Visual Analytics community forum.
  • Follow SAS Visual Analytics on social media.
  • Attend webinars and other events hosted by the community.
Participate in a data visualization competition
Challenges students to apply their skills in a competitive environment, promoting innovation and excellence.
Show steps
  • Find a data visualization competition that aligns with your interests.
  • Gather data and develop a compelling data visualization.
  • Submit your visualization to the competition.

Career center

Learners who complete Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics will develop knowledge and skills that may be useful to these careers:
Geographic Information Systems Analyst
Geographic Information Systems Analysts use data to create maps and other visualizations that help businesses and organizations understand their geographic data. This course would be helpful for GIS Analysts, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping, which is an important skill for GIS Analysts.
Data Scientist
Data Scientists use data to solve business problems. This course would be helpful for Data Scientists, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Data Scientists.
Business Analyst
Business Analysts use data to help businesses make better decisions. This course would be helpful for Business Analysts, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Business Analysts.
Market Research Analyst
Market Research Analysts use data to understand consumer behavior. This course would be helpful for Market Research Analysts, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Market Research Analysts.
Urban Planner
Urban Planners use data to plan and design cities. This course would be helpful for Urban Planners, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Urban Planners.
Transportation Planner
Transportation Planners use data to plan and design transportation systems. This course would be helpful for Transportation Planners, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Transportation Planners.
Environmental Scientist
Environmental Scientists use data to understand and protect the environment. This course would be helpful for Environmental Scientists, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Environmental Scientists.
Epidemiologist
Epidemiologists use data to study the causes and spread of disease. This course would be helpful for Epidemiologists, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Epidemiologists.
Public Health Analyst
Public Health Analysts use data to improve public health. This course would be helpful for Public Health Analysts, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Public Health Analysts.
Geographer
Geographers use data to study the Earth's surface. This course would be helpful for Geographers, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Geographers.
Cartographer
Cartographers use data to create maps. This course would be helpful for Cartographers, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Cartographers.
Demographer
Demographers use data to study populations. This course would be helpful for Demographers, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Demographers.
Survey Statistician
Survey Statisticians use data to collect and analyze data from surveys. This course would be helpful for Survey Statisticians, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Survey Statisticians.
Data Visualization Specialist
Data Visualization Specialists use data to create visualizations that communicate information clearly and effectively. This course would be helpful for Data Visualization Specialists, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Data Visualization Specialists.
Geospatial Analyst
Geospatial Analysts use data to analyze the Earth's surface. This course would be helpful for Geospatial Analysts, as it provides training on how to use SAS Visual Analytics to create geo maps and forecasts. The course also covers how to restructure data for geographic mapping and forecasting, which are important skills for Geospatial Analysts.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics.
This textbook provides a comprehensive overview of the concepts and techniques used in geographic information systems (GIS) and science. It valuable reference for students and professionals in the field.
Provides a comprehensive overview of the principles and practice of forecasting. It valuable resource for students and professionals who want to learn about forecasting methods.
This textbook covers statistical methods specifically designed for analyzing spatial data, including geostatistical models and Bayesian approaches.
This collection of articles provides insights into various aspects of spatial analysis and GIS, covering topics such as spatial data modeling, geovisualization, and decision support systems.
Provides a comprehensive overview of the techniques used in big spatial data analytics. It valuable resource for students and professionals who want to learn about big spatial data analytics methods.
Provides a comprehensive overview of the techniques used in spatial epidemiology. It valuable resource for students and professionals who want to learn about spatial epidemiology methods.
Provides a detailed overview of the R programming language for spatial data analysis. It valuable resource for students and professionals who want to use R for spatial data analysis.

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