SAS, previously known as the Statistical Analytic System, is a packaged software suite developed by the SAS Institute. SAS is one of the most industry-driven data analytics and Predictive Intelligence software provided, leveraged by Fortune 1000 companies for their business intelligence. In Gartner’s Magic Quadrant for Data Science and Machine Learning for 2019, SAS was positioned as a ‘Leader’. If you are a fresh IT Engineer and if you are already mesmerized by the scintillating world of Data Science and Business Intelligence, look no further beyond SAS.
But first, let’s see if you are truly built to enter into SAS training Institute in Bangalore, Mumbai, Kolkata or any other city in India.
So, what does a SAS analyst really do? Is IT course really a good place to start the career in Data Science?
People who work with data need to work in a structured architecture—also called a Silo. Term such as Data Scientists, Analysts, IT Architecture, AI Engineer and Data Engineer are all human components of this silo umbrella. As a Fresh IT Engineer eyeing a SAS-based role, you will be part of 30% of the most powerful revenue generation system in the world.
So, clearly, you will be trained to work with data round the clock. Ask around and you will find 90% of the SAS analysts are experienced at stitching together unstructured and structured data together to make an interactive data visualization.
A Fresh IT Engineer would be expected to train in these topics to pursue a career in Data Analytics:
- Programming
- Data Visualization, Reporting and Dashboard Analytics
- Cloud Computing
- Neural Networking
- AI and Machine Learning
What Specific Skills Does an IT Engineer Have to Become a Successful SAS Analyst?
This article is aimed to answer specifically this question. If you are an IT Engineer, you need to be skilled in Mathematics, Logical Reasoning, Statistics and Programming. Your academic background should comply with your SAS Institute Bangalore requirements.
Depending on your IT skills, you can pursue these options in SAS training course online.
- Basic SAS analytics
- Intermediate SAS Analytics for Cloud, SaaS, and Deep Learning
- Advanced SAS analytics for Customer Intelligence, Fraud Analytics and Risk Management
Which Companies Hire SAS Analysts for Data Science and Programming Projects?
If you have an eye for solving data problems and making it simpler for data engineering teams to handle Big Data and Customer Intelligence, you could be hired by Fortune 1000 Companies. How? These companies are already invested in Billions on such projects. They have at least one or more Data Science teams.
SAS Customers include big companies such as Honda, HSBC, BMC Software, Bank of India, SEBI, Bank of Baroda, Spanish Air Force, Poste Mobile, Bank of America, World Wildlife Fund, and so on. Of the Fortune 100 Companies, 94 already use SAS!
With your intuitive data solving skills and strong communication, you can make rapid stride into data science with SAS Analytics online course.