Question 1

What is SAS Programming?

Accepted Answer

SAS is a software suite developed for advanced analytics, multivariate analyses, business intelligence, data management, and predictive analytics. SAS has evolved over time, and is in wide use for analysis of healthcare, medical, and clinical trials data. Knowledge of SAS is a standard requirement for many biostatistician and healthcare data science roles, typically at pharmaceutical and biotechnology companies.

Question 2

Why learn SAS?

Accepted Answer

We recommend these courses for those with a basic knowledge of SAS who want to use it in data science, data management and machine learning applications. You may wish to use it for data visualization, statistical hypothesis testing, or to implement regression and machine learning models. You will be able to get more productivity and effectiveness out of SAS when you finish one or more courses in this collection.

Question 3

What jobs use SAS?

Accepted Answer

According to Burning Glass, there were more than 100,000 job postings in the last 12 months that require SAS as a skill. Some of the functional job titles requiring SAS are Business Intelligence Analyst, Management Analyst, Statistician, or Biostatistician. If your work involves data analysis, modeling, or visualization, SAS is a powerful skill to add to your portfolio.

Question 4

What skills or experience do I need to already have, before starting to learn SAS?

Accepted Answer

Before starting to learn SAS, you should have experience using computer software and know how to access data files on your operating system. You should also understand system commands and file structures on your operating system. If you already know SQL, learning SAS should be fairly easy for you. Having an understanding of linear algebra, calculus, statistics, software engineering, or machine learning will also help you be successful at learning SAS.

Question 5

How do I know if learning SAS is right for me?

Accepted Answer

If you are pursuing a career as a statistician, biostatistician, social science researcher, or actuary, learning SAS is likely right for you. According to data collected by Burning Glass, job postings for these positions list SAS as a requested skill at a high percentage rate: 49% for biostatisticians, 41% for statisticians, 29% for social science researchers, and 22% for actuaries. If your career field is in data, such as a data analyst, data mining analyst, or data scientist, learning SAS is likely the right move for you, too, as it is often used in these fields. SAS is also suitable for those in machine learning, programming, and artificial intelligence. If you're interested in analytics, learning SAS just might be the right move for you.

Question 6

What are common career paths for someone in SAS?

Accepted Answer

A common career path for an SAS programmer starts as an analyst, progresses to senior analyst, and then to principle analyst. After this senior level, SAS programmers may become managers over groups of people, then progress to senior manager and associate director. A career path for statisticians in SAS is commonly statistician, senior statistician, and then to management. Management roles usually require a master's degree. Major companies often have vice presidents with a background in SAS.

Question 7

What types of places hire people with a background in SAS?

Accepted Answer

A wide array of places need people with a background in SAS, including in the health care, banking, manufacturing, government, insurance, and retail industries. The highest paying industries for SAS programmers are the finance and health care industries, according to Zippia. Some of the top companies that hire people with a background in SAS include Amazon Web Services, Retail Odyssey, Deloitte, Citi, Facebook, CVS Health, Kaiser Permanente, Booz Allen Hamilton, and Rutgers University.

Question 8

What are the benefits of taking an online SAS (software) course?

Accepted Answer

Online SAS (software) courses offer a convenient and flexible way to enhance your knowledge or learn new SAS (software) skills. Choose from a wide range of SAS (software) courses offered by top universities and industry leaders tailored to various skill levels.

Question 9

What SAS (software) courses are best for training and upskilling employees or the workforce?

Accepted Answer

When looking to enhance your workforce's skills in SAS (software), it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.

Learn Essential SAS Skills

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Choose the SAS Course That Aligns Best With Your Educational Goals

Supervised Text Classification for Marketing Analytics

Statistical Inference and Hypothesis Testing in Data Science Applications

Statistical Inference for Estimation in Data Science

Data Collection and Root Cause Analysis

Regression and Classification

Trees, SVM and Unsupervised Learning

Data Literacy in Practice

Satellite Remote Sensing Data Bootcamp With Opensource Tools

Unsupervised Text Classification for Marketing Analytics

Network Analysis for Marketing Analytics

ANOVA and Experimental Design

The Simplest Guide™ to Clinical Data Analysis with SAS

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In summary, here are 10 of our most popular sas courses

Frequently Asked Questions about Sas

What is SAS Programming?‎

Why learn SAS?‎

What jobs use SAS?‎

What skills or experience do I need to already have, before starting to learn SAS?‎

How do I know if learning SAS is right for me?‎

What are common career paths for someone in SAS?‎

What types of places hire people with a background in SAS?‎

What are the benefits of taking an online SAS (software) course?‎

What SAS (software) courses are best for training and upskilling employees or the workforce?‎

Other topics to explore