We may earn an affiliate commission when you visit our partners.
Course image
Nicole Ball

In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.

Enroll now

What's inside

Syllabus

Professional Certificate Overview
In this module you learn about the scope and structure of the courses in this Professional Certificate.
Course Overview and Logistics
Read more
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.
Getting Started with SAS Visual Analytics
In this module, you learn more about Visual Analytics and the course environment.
Preparing Data Using SAS Data Studio
In this module, you learn how to access, investigate, and prepare data in SAS Viya.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Covers the latest version of SAS Visual Analytics software, ensuring learners are up-to-date with industry standards
Introduces learners to the SAS Viya platform, a modern and widely used data analytics platform
Provides hands-on experience in data preparation and analysis using SAS Data Studio, a powerful data manipulation tool
Suitable for professionals who need to analyze and visualize data in their daily work
Led by Nicole Ball, an experienced instructor in data analytics and visualization

Save this course

Save Getting Started with SAS Visual Analytics to your list so you can find it easily later:
Save

Reviews summary

Sas visual analytics: a beginner's guide

Learners say that this course is largely positive with a sentiment score of 86, a rating that reflects satisfaction with the well-designed, clear, and engaging assignments it offers. Students report that the tutorials and demos were especially helpful, appreciating the thorough explanations and step-by-step guidance provided by the instructors. The course is well received by beginners due to its easy-to-follow format and avoids overwhelming students new to SAS Visual Analytics.
The course is an excellent fit for beginners.
"It was an easy to follow course for a beginner."
"This course is great for beginner SAS Analytics introduction..."
"The course is a basic foundation to understand SAS..."
The course provides high-quality, interesting content.
"Excellent presentation, really interesting course!"
"The coursework gives an amazing walkthrough of the SAS framework..."
"I enjoyed the practice sessions within SAS- it made me feel confident..."
Instructors present complex topics extremely clearly.
"Very clear."
"I found it very well designed."
"The course was a very good in-depth introduction to the software..."
Learners report finding the quizzes somewhat difficult.
"The quizzes are a little bit difficult as the instructions are not stated in details, also it is harder than the demonstration."
"I was expecting a little more explanation and more practice challenges..."

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 Getting Started with SAS Visual Analytics with these activities:
Organize and review course materials
Ensure you have a comprehensive collection of resources and materials by consolidating and reviewing all handouts, slides, and assignments.
Show steps
  • Gather all course materials
  • File and organize materials into a logical structure
  • Review materials regularly to reinforce learning
Practice data manipulation techniques
Enhance your proficiency in data manipulation techniques, ensuring a solid foundation for your journey with SAS Visual Analytics.
Browse courses on Data Manipulation
Show steps
  • Review data manipulation concepts
  • Practice using SAS Data Studio for data manipulation
  • Complete hands-on exercises and examples
Review SAS Data Studio basics
Establish a solid understanding of SAS Data Studio, which will be essential for preparing and accessing data in SAS Visual Analytics.
Show steps
  • Read the SAS Data Studio documentation
  • Watch SAS Data Studio tutorials
  • Complete hands-on exercises in SAS Data Studio
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in online discussion forums
Engage with fellow learners and course instructors in online discussions, exchanging ideas and perspectives to deepen your understanding.
Show steps
  • Join the course discussion forums
  • Participate in discussions by asking and answering questions
  • Share your own insights and experiences
Attend a SAS Visual Analytics user group meeting
Connect with other professionals using SAS Visual Analytics, exchange knowledge, and stay informed about industry trends.
Browse courses on SAS Visual Analytics
Show steps
  • Find a local SAS Visual Analytics user group
  • Attend a user group meeting
  • Network with other attendees
Practice data visualization techniques
Gain proficiency in creating meaningful and visually appealing data visualizations, leveraging the capabilities of SAS Visual Analytics.
Browse courses on Data Visualization
Show steps
  • Use SAS Visual Analytics to create various types of charts and graphs
  • Experiment with different data visualization techniques
  • Analyze data using SAS Visual Analytics and draw insights
Analyze a real-world dataset using SAS Visual Analytics
Apply your knowledge to a practical data analysis project, using real-world data and SAS Visual Analytics to solve a specific problem.
Browse courses on Data Analysis
Show steps
  • Identify a business problem or question
  • Gather and prepare the necessary data
  • Analyze the data using SAS Visual Analytics
  • Draw insights and make recommendations
Develop an interactive data dashboard
Apply your skills to create a compelling data dashboard that effectively communicates insights and key findings.
Browse courses on Interactive Visualization
Show steps
  • Identify the key metrics and insights you want to communicate
  • Design the layout and structure of your dashboard
  • Use SAS Visual Analytics to develop interactive visualizations
  • Present your dashboard to stakeholders

Career center

Learners who complete Getting Started with SAS Visual Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst studies raw data to identify trends and patterns that can help businesses make informed decisions. To succeed in this role, one needs to be able to access, investigate, and prepare data for analysis. The "Getting Started with SAS Visual Analytics" course from SAS teaches the necessary skills to succeed as a Data Analyst by focusing on accessing, analyzing, and preparing data using the SAS Visual Analytics platform.
Data Scientist
Data Scientists use a combination of programming skills and statistical knowledge to analyze and interpret data to find solutions to business problems. To excel in this role, one needs to be able to prepare data for analysis, which involves accessing, investigating, and cleaning data. By taking the "Getting Started with SAS Visual Analytics" course from SAS, one can develop the necessary skills to successfully prepare data for analysis. This course covers accessing data in SAS Viya, investigating data to understand its structure and content, and preparing data for analysis using SAS Data Studio.
Business Analyst
Business Analysts use data analysis to identify and solve business problems. To succeed in this role, one needs to have a strong understanding of how to access, investigate, and prepare data for analysis. SAS's "Getting Started with SAS Visual Analytics" course provides learners with the skills to access data from various sources, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio. This course can help Business Analysts develop the analytical skills needed to succeed in the field.
Financial Analyst
Financial Analysts use data analysis to make investment recommendations. To be successful in this role, one needs to be proficient in accessing, investigating, and preparing financial data for analysis. The "Getting Started with SAS Visual Analytics" course from SAS can provide Financial Analysts with the necessary skills to succeed by teaching them how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio.
Operations Research Analyst
Operations Research Analysts use analytical techniques to solve business problems. To succeed in this role, individuals need to be able to access, investigate, and prepare data for analysis. The "Getting Started with SAS Visual Analytics" course from SAS can help Operations Research Analysts develop the necessary skills by providing instruction on how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio.
Statistician
Statisticians use data analysis to solve real-world problems. To be successful in this role, one needs to be able to access, investigate, and prepare data for analysis. The "Getting Started with SAS Visual Analytics" course from SAS teaches learners how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio. By taking this course, Statisticians can enhance their data analysis skills and advance their careers.
Data Mining Engineer
Data Mining Engineers use data analysis to extract knowledge and insights from large datasets. To be successful in this role, one needs to have a strong foundation in data analysis, including how to access, investigate, and prepare data. SAS's "Getting Started with SAS Visual Analytics" course can help Data Mining Engineers enhance their skills by providing instruction on how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio.
Machine Learning Engineer
Machine Learning Engineers use data analysis to build and deploy machine learning models. To be successful in this role, one needs to have a strong understanding of data analysis, including how to access, investigate, and prepare data. SAS's "Getting Started with SAS Visual Analytics" course can help Machine Learning Engineers enhance their skills by providing instruction on how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio.
Data Engineer
Data Engineers build and maintain data infrastructure. To be successful in this role, one needs to have a strong understanding of data analysis, including how to access, investigate, and prepare data. SAS's "Getting Started with SAS Visual Analytics" course can help Data Engineers enhance their skills by providing instruction on how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio.
Database Administrator
Database Administrators maintain and manage databases. To be successful in this role, one needs to have a strong understanding of data analysis, including how to access, investigate, and prepare data. The "Getting Started with SAS Visual Analytics" course from SAS teaches learners how to access data in SAS Viya, investigate data to understand its structure and content, and prepare data for analysis using SAS Data Studio. By taking this course, Database Administrators can enhance their data analysis skills and advance their careers.
Software Engineer
Software Engineers design, develop, and maintain software applications. While a strong understanding of data analysis is not always a requirement, it can be beneficial in certain domains, such as data-driven software development. The "Getting Started with SAS Visual Analytics" course from SAS may be useful for Software Engineers who want to enhance their data analysis skills and apply them in software development.
Web Developer
Web Developers design, develop, and maintain websites. While a strong understanding of data analysis is not always a requirement, it can be beneficial in certain domains, such as web analytics. The "Getting Started with SAS Visual Analytics" course from SAS may be useful for Web Developers who want to enhance their data analysis skills and apply them in web development.
IT Manager
IT Managers plan, implement, and maintain computer systems and networks. While a strong understanding of data analysis is not always a requirement, it can be beneficial in certain domains, such as IT performance analysis. The "Getting Started with SAS Visual Analytics" course from SAS may be useful for IT Managers who want to enhance their data analysis skills and apply them in IT management.
Project Manager
Project Managers plan, execute, and close projects. While a strong understanding of data analysis is not always a requirement, it can be beneficial in certain domains, such as project risk analysis. The "Getting Started with SAS Visual Analytics" course from SAS may be useful for Project Managers who want to enhance their data analysis skills and apply them in project management.
Marketing Manager
Marketing Managers plan and execute marketing campaigns. While a strong understanding of data analysis is not always a requirement, it can be beneficial in certain domains, such as marketing analytics. The "Getting Started with SAS Visual Analytics" course from SAS may be useful for Marketing Managers who want to enhance their data analysis skills and apply them in marketing.

Reading list

We've selected six 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 Getting Started with SAS Visual Analytics .
Provides a comprehensive reference to the SAS language. It covers all aspects of the language, from basic syntax to advanced programming techniques.
Provides a comprehensive overview of data wrangling techniques. It includes coverage of the SAS Data Studio platform, as well as other popular data wrangling tools.
Provides a comprehensive overview of data visualization techniques for business intelligence. It includes coverage of the SAS Visual Analytics platform, as well as other popular data visualization tools.
Provides a comprehensive overview of data analysis techniques. It includes coverage of the SAS platform, as well as other popular data analysis tools.
Provides a step-by-step introduction to the SAS Viya platform. It covers the basics of data exploration, visualization, and analysis.
Provides a comprehensive overview of SAS Visual Analytics for data science. It covers all aspects of the software, from data preparation and analysis to creating visualizations and reports.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Getting Started with SAS Visual Analytics .
Data Analysis and Reporting in SAS Visual Analytics
Most relevant
Using Data for Geographic Mapping and Forecasting in SAS...
Most relevant
Performing Network, Path, and Text Analyses in SAS Visual...
Most relevant
Creating Advanced Reports with SAS Visual Analytics
Most relevant
Business Intelligence and Visual Analytics
CASL Programming for Distributed Computing in SAS® Viya®
Using SAS Viya REST APIs with Python and R
Modeling Time Series and Sequential Data
SAS Programming Complete: Learn SAS and Become a Data...
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser