SAS Visual Business Analytics (A00-278) Certification
Using SAS Visual Business Analytics, you will learn to get and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data.
SAS Visual Business Analytics is a helpful skill in a change of careers, including business analyst, researcher, statistician, or data scientist.
SAS Visual Business Analytics with Machine Learning helps people see things that were not open to them before. Even when data volumes are enormous, patterns can be found quickly and easily.
This covers data mining skills, advanced modeling techniques, business visualizations that convey information entirely and make it easy to share ideas with others.
Who Should Attend the SAS Visual Business Analytics Exam?
Aspirants who require to become Business Data Visualization analysts/experts and build a strong SAS programming foundation to manipulate data, perform queries and analyses, and generate reports.
Additionally, it wants to access the power of SAS for analysis and report generation on data using the point-and-click interface.
No particular prerequisites. The ability of any programming language is favored, however, not necessary.
SAS Visual Business Analytics is wholly suited for organizations that are looking for big data analytics tools that can relate to and make sense of the most challenging and challenging Big Data queries.
Extensibility of the platform for different type’s business intelligence and data reporting requirements is a fundamental differentiator for the Visual Analytics platform.
SAS Visual Business Analytics gives an environment that can be used for Big Data research with easy-to-use analytics and visualizations.
Interactive data visualizations are at the center of the platform, implementing a system for users to understand data better and gain business insight.
SAS Visual Business Analytics allows the world of interactive dashboards and reports, driven by data queries that can come from multiple sources.
- Visual Data Exploration: Automatic creating of data charts to aid users in understanding what data means.
- In-memory Data Analysis: Dynamic analysis of data via in-memory optimization approaches.
- Interactive Report Creation: Web interface that enables report authors to build custom reports.
A00-278 Exam Content
- Candidates who earn this credential will have received a passing score on the SAS Certified Specialist – Visual Business Analytics 7.5/8.3 exam.
- Code: A00-278
- Questions Asked in Exam: 55 – 60 multiple-choice, short-answer, and interactive questions
- Duration: 100 minutes
- This exam is based on both SAS Visual Business Analytics on SAS Viya version 8.3 and SAS 9.4 version 7.5.
- The exam is intended for candidates with experience or training using either version, including VA on SAS Viya 8.3 or later.
What Can Candidates Assume When They Take the SAS Visual Business Analytics Exam?
Most importantly, candidates should first review the exam objectives to know the exam content. We are moving to new construction for purposes that provide more clarity about the exam content.
In addition to the 14 exam objectives, we have added 86 expanded goals that add particular tasks that could be tested on any given form of the exam.
Candidates will notice an essential use of graphics; more than half of the questions include a screen capture from SAS Visual Business Analytics. For this type of question, candidates make a task in a simulated SAS Visual Business Analytics interface.
A particular visualization is presented, and the candidate uses a work area to move data items onto the correct roles that would generate the visualization.
An interactive interface is displayed so that the candidate can set checkboxes, radio buttons, and drop-down lists on a Properties Panel that would make the viewing asked in the question.
The subject matter specialists liked creating these questions, the candidates during the beta exam said that they enjoyed the change from traditional multiple-choice questions, and exam developers were very pleased with the psychometric performance of these items.
We plan to proceed to use them on future exams and add them to existing exams during updates.
The Benefits of SAS Visual Business Analytics
In traditional reporting, what you are reporting on, and what requires to be conveyed is always known upfront. It is also of a binary and linear process. With it, however, all that varies.
You can search for data and its relationships without any predefined goals and create new insights using the powerful SAS analytics engine. SAS Visual Analytics certification aid explains these benefits in more detail.
Here are some of the significant advantages:
- You can share insights from it on both desktops as well as mobile.
- Users can utilize the power of SAS analytics to large amounts of data.
- SAS Users can search for data visually at very high rates.
- Users can create compelling statistics models by using SAS visual statistics.
- It enables you to create visual reports and dashboards based on ordinary tables and graphs.
- The tool enables users to create customized graphs quickly.
- It can connect with all third parties and consolidate their data into one system. It then explains the structured information consistently and reliably.
- The software is generally used across the IT industry since it has a different set of analytics tools.
SAS itself gives SAS Visual Analytics tutorial for beginners. If you have used analytics tools, particularly SAS tools in the past, this tutorial should be sufficient to get you excited.
You can then build on this essential knowledge when you start using the device. Participating in its community is an excellent way to do this.
In conclusion, one can say that SAS Visual Business Analytics is fast becoming the go-to analytics tool for companies across the world. If you require to build a career in analytics, learning SAS is the way to go.
It combines the power of SAS’ analytics engine with a seamless interface, user experience, and excellent data visualization. It will remain to be the tool of choice, especially as more and more companies realize the potential of powerful analytics.