SAS Training

SAS stands for "Statistical Analysis Software," SAS was created by Jim Goodnight and N.C. State University colleagues, including John Sall, in the early 1970s to analyze agricultural–research data. In 1976, SAS Institute Inc. was incorporated by Barr Goodnight Sall.

Every business has unique needs. To gain an advantage over industry rivals, a company needs software solutions designed to meet specific business requirements. SAS Software provides solutions to different industries which are healthcare, pharmaceutical, clinical, financial, banking, retail, supply chain, government organizations and many more.

What is SAS Analytics?

SAS is a data analytics software widely used for predictive and descriptive modeling, data mining, forecasting, optimization, simulation, experimental design of a business. It is considered as 4th generation software that

• Explore and exploit corporate data for strategic business advantage.
• Analyze huge quantities of data to make discoveries, solve complex problems and deploy results throughout the enterprise.
• Obtain the best results and discover new insights more quickly and easily.

Why should you learn SAS Analytics?

"Demand" is the obvious answer. The modern information technology environment generates massive amounts of data (often referred to as "Big Data") from transactions, business interactions, social exchanges and sensors. With continued innovation revolving around digital technologies, the Internet and mobile computing, the amount of data continues to grow exponentially. So to analysis those "big data" in an effective way to bring business solution one must be equipped with SAS software.

Even the recent study by McKinsey Global Institute's Big data: The next frontier for innovation, competition, and productivity estimates that by 2018, "the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions."

Even the recent study by McKinsey Global Institute's Big data: The next frontier for innovation, competition, and productivity estimates that by 2018, "the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions."

What are the opportunities available for a SAS Analytics professional?

The Application of SAS business analytics is multifacet. So any students or professional irrespective of their background who have zeal to build career in analytics domain can pursue this course. There are multiple career options for SAS business analytics professionals. Few are discussed below

Healthcare Analyst: With increasing demands from consumers for enhanced healthcare quality and increased value, healthcare providers and payers are under pressure to deliver better outcomes. Using analytics to gain better insights can help demonstrate value and achieve better outcomes, such as new treatments and technologies.

Marketing Analyst: For analyzing market conditions for a particular product or service.

Financial Analyst: For analyzing financial performance using financial data, provide financial advice to the company.

Credit-Risk Analyst: For analyzing the risk involved in giving loans to customers and combing out those customers who could be the possible loan defaulters.

HR Analyst: For analyzing payroll; the hiring and firing of employeedows; and the fostering of an efficient, safe, and supportive work environment.

Retail Analyst: For monitoring store category sales, supervising physical inventory, identifying trends, and monitoring the timing and scope of seasonal changes.

The SAS Course Curriculum:

Click here to download the complete course curriculum of SAS Analytics.

The course approach is a case–study–oriented approach, wherein every session will have a case study assignment that the participant has to assess and implement all the topics covered in that particular session. And at the end of the course – a project work, where the participant has to implement all the topics covered in the entire course. This way, the main objective of the course – a real–time implementation of a complete SAS life cycle, is achieved twice.

The course typically contains 20+ hours of sessions conducted either on regular basis from Monday to Friday or on weekend's basis (Saturday & Sunday) for 6 weeks, 2 classes per week with class duration of 2 hours each most probably early in the mornings or late in the evenings. This way, it will not disturb your everyday job and can spend more time on assessing the case studies during the week, whenever you get time.