Achieving SASInstitute A00-277 certification demonstrates your expertise in SAS Visual Analytics and your ability to design and create effective data visualizations. SAS Visual Analytics 7.4 Exploration and Design certification can enhance your career prospects, increase your earning potential, and showcase your commitment to professional development.
A brief introduction to the course
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SAS Visual Analytics 7.4 is a powerful data visualization tool that allows data analysts to create interactive reports and dashboards. By passing the SASInstitute A00-277 exam, professionals will be able to demonstrate their expertise in using SAS Visual Analytics to create effective data visualizations that can be used to make informed business decisions.
Concise contents
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SASInstitute A00-277 Certification Exam is a comprehensive assessment of a candidate's ability to use SAS Visual Analytics software to explore and design reports, dashboards, and visualizations. It is designed for individuals who want to become experts in SAS Visual Analytics and demonstrate their proficiency in the software to potential employers. Preparing for the exam requires a good understanding of SAS Visual Analytics software and its various features, as well as data visualization concepts and data exploration techniques.
A true simulation environment
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SASInstitute A00-277 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: SAS Visual Analytics Explorer | 35% | - Apply analytics and statistics to visuals
- Interact with and filter explorations
- Create and interpret automatic visualizations
- Build and customize charts and tables
|
| Topic 2: SAS Visual Analytics Designer | 30% | - Share, export, and publish reports
- Add controls, containers, alerts, and comments
- Create tables, crosstabs, and graphs
- Design layouts, filters, and interactions
|
| Topic 3: Data Sources and Data Items | 35% | - Use SAS Visual Data Builder to create queries
- Import data into SAS Visual Analytics
- Examine, modify, and create data items
- Manage data sources and data structures
|