In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.
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课程信息
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SAS
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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Course Overview
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.
Analyzing Data Using SAS Visual Analytics
In this module, you learn how to analyze data using SAS Visual Analytics.
Designing Reports with SAS Visual Analytics
In this module, you learn how to design and create reports in SAS Visual Analytics.
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来自DATA ANALYSIS AND REPORTING IN SAS VISUAL ANALYTICS的热门评论
I loved the course layout - l learnt so much data slicing and analysis however i really struggled with links and display rules even after using the worksheets (PDF solutions) not sure why
Excellent course content which supply clear instruction on reporting and visual analytics. Understandable content with great explanations. Highly Recommended !!
Its was a great course which provide hand on pratice using assignment/exercise. SAS App performance need to be boosted to save time.
It was helpful to do this course as I was retrenchened in this Covid-19. I wanna do more to boost my experience. Thanks
关于 SAS Visual Business Analytics 专业证书
Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.

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