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6/16/2022 0 Comments

Is Achieving SAS Certification Worth It?

​If you are in the information technology industry, you have likely heard of SAS software. It is a suite of tools that many companies use to gather and analyze data related to their businesses. SAS certifications can present employees with specific skills that allow enterprises to make sense of the data constantly flowing in and out of their establishments.
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​What Is SAS?

Statistical Analytics System (SAS) is a software tool used for statistical data analysis and has been an uncontested market leader for many years. The program features many statistical capabilities, a user-friendly interface, and excellent technical support, and is suitable for complex operations.

SAS is not pocket-friendly, so it is unusable for individuals and small businesses to operate, and large corporations only use it like Nestle, Volvo, Barclays, etc. The functions that cannot be done using SAS are data visualization, advanced analytics, and machine learning methods.

Which Is the Best SAS Certification?

The best certification will depend on your field, current position, and the type of job you ultimately want to obtain. SAS credentials are organized by subject and umbrella topic, including:
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  • Foundation tools
  • Advanced analytics
  • BI and analytics
  • Data management
  • Administration
  • JMP

Most people begin their SAS programming careers by making credentials under “foundation tools,” such as the Base Programming certification. These SAS certifications can act as building blocks to obtaining more advanced certificates.

Who Are the Rightful Admirers to Learn SAS Certification?
  • Employers always select college graduates even more if the candidate has completed their master’s degree too. This generates a high demand and marketability option for the employers as with qualification must come professionalism at its peak.
  • To do a job in this aspect, one must have a SAS certificate in programming, business intelligence, advanced analytics, data management, and administration.
  • Increase yourself competitively and be consistent with data analysis and preferred professional courses to match yourself at the highest level.
  • Increasing your skills certainly improves the probability of high-salaried jobs. With high qualifications in data management, business intelligence, and advanced analytics, the pay scale rises dramatically compared to a plain SAS Certified individual.
  • You should also gain valuable work experience in programming, which will increase trust and faith from the employer’s point of view.

Reasons to Become a SAS Certified Candidate

Your credibility in the sights of your employer grows only when you are qualified much higher than your colleagues. And what better way to improve your position and rank within the company you are currently employed for than getting certified with professional courses.

Any certification helps tremendously boost your potential value in the job market and your reputation. SAS skilled professionals are required in high order, which paves the fast and smooth the path for experienced professionals to showcase their credibility in front of the employment stage.

A technical professional with SAS certification is always an asset for the company and still a plausible individual in the eyes of the employer. Developing the Base SAS is a compulsory requirement before achieving healthy skills regarding SAS.
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The massive demand for business analysts in big enterprises and companies shows the road ahead for talented and qualified SAS analysts to make careers in this field.
​Perks of Learning SAS Certification

1. SAS Certification Is Cost-effective

SAS is a commercial software company’s use due to its extremely high rates, and it is beyond the reach of individuals or companies just starting. SAS holds the highest market share among private organizations, and SAS supplies a free university version for students with some limitations.

2. Learning Ease

SAS is straightforward to learn and use, as it has a better and more stable Graphic User Interface (GUI) in comparison to Python. A user requires to know SQL to work in SAS. There are also many resources available on many websites with tutorials for SAS.

3. Data Handling

SAS can manage data very smoothly and stably. Data is increasing in size and stability daily, and SAS can store and organize vast amounts of information efficiently.

4. Graphical Capabilities

The functional graphical capabilities of SAS are good. It has its limitations when it comes to any customization. To customize the graphic capabilities, one must have a good grasp of the graph package.

5. SAS Certification Expands Job Opportunities

SAS is the leading market language globally and is widely used in corporate setups and larger companies as it is more professional and easier to use. There are many job openings all over the market for SAS.

6. Advancement of Tools

Although SAS provides all the essential functions that one might require to work in Data Science, SAS is a little more advanced in the services offered. As licensed software releases updates in a comfortable environment, all the features are well tested. So it is less prone to errors.

7. Customer Service

SAS is a licensed and paid software, so the user pays for the services they want. SAS provides excellent customer service and technical support. The community is also very interactive and practical. So, if someone gets stuck during installation or any other processes, they will get direct technical support from the team to reach out.

8. Deep Learning

SAS is in the development step of deep learning as it has introduced deep understanding, and there is much to work on.

Do SAS Certifications Expire?

Today’s SAS certifications do not expire. In the past, some of these credentials were only good for three years, but these were non-versioned certifications and are no longer issued.

Conclusion
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​For beginners or advanced learners interested in data science, it is essential to take the correct path with SAS certification. There is cut-throat competition in the market, and the field of data analytics and the search for the best tool is repetitive and never-ending.
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