SAS Analyst

The business world, all around us, is run by statistics. Statistics touch all of our lives in one way or the other. From daily chores in our homes to trend setting and path breaking decisions and plans made in the board room of companies by corporate honchos, statistics impact and affect our lives in numerous ways. From the spices in your kitchen cabinet to the trains passing by you in the tracks, the use of statistics is everywhere.

The study and processing of statistics is of utmost importance in the field of business, as all the decision and long term plans and business strategies are made and fixed in the basis of these statistics. Companies and organizations, however big or small, need statistical analysis, to survive and thrive in this competitive world of ever changing market trends and consumer needs and requirements.

This is where SAS comes in.

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. 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

1) Explore and exploit corporate data for strategic business advantage.

2) Analyze huge quantities of data to make discoveries, solve complex problems and deploy results throughout the enterprise.

3) Obtain the best results and discover new insights more quickly and easily.

We at Gilsoft Technologies have a team of SAS analysts who are adept and expert in their fields of work. They have years of experience of working as SAS analyst in the biggest of international companies thus had an impressive body of work. They have in depth knowledge and valuable insight on statistical analysis and with their expert guidance you will be ready to face any challenge and face any complexity in the competitive world. 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.