A Different Approach to Learning SAS Software - analytics ncsu 2025

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Re: Why would someone use SAS? 1. SAS is way more than statistical analysis. 2. In many high stakes fields (health care analytics, aviation, etc.), SAS is much more preferred due to its high level quality control, whereas R provides absolutely no warranty. 3. SAS is much easier to use than R
While SAS itself is not difficult to make it do a variety of functions, having an understanding of concepts in linear algebra, calculus, statistics, machine learning, or some other computer science-y background will truly be needed to use the tool well if you plan to pull out those more advanced functions.
SAS analytical software is built upon artificial intelligence and utilizes machine learning, deep learning and generative AI to manage and model data. The software is widely used in industries such as finance, insurance, health care and education.
However, Sas is not as easy as Python language. Anyone looking for advanced data science online course can learn Sas. R is considered one of the toughest and most used by advanced data scientists who also know how to code. On the other hand, Python is easy to use as it is open-source.
SAS is not a programming language. It is a data management system, which uses several programming languages. SAS was designed to perform this analysis. It can write different algorithms and their thousands of variations and options in coding like STAT, OR, QC, DM, etc.

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Higher job prospects: SAS-certified professionals earn competitive salaries and are highly sought after by employers who value data security and reliability.

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