Analytics is a process to identify, analyse and then conclude to a meaningful outcome that is found in particular data. It is actually turning of a basic data, information, or values into insight for making the best decisions. It is especially useful in a business, which records a lot of data or information pertaining to clients or customers or product or services etc.

A blend of Business Analytics and Business Intelligence can create many capabilities for any business / company / industry to strive in the industry effectively & efficiently. Business Analytics and Big Data is one of the main functional areas in all most all big ventures / companies. Business Analytics develops the ability to support the decisions derived through analytic reasoning using variety of statistical and mathematical techniques. It is rightly said by Mr. Thomas Davenport in his book titled, “Competing on analytics: The new science of winning”, that a significant proportion of high-performance companies have high analytical skills among their personnel’s.

Inputs of a business analysts matters a lot these days in any business before taking big decisions. Currently we see a huge group of professionals seeking a career in Business Analytics after doing their MBA..

PGC in Business Analytics certification program enables to understand the techniques and analytical tools required to engage with complex data with the aim of enhancing business performance. This programme is designed to help learners gain the skills and qualification needed to pursue a career in business analytics. By completing this programme, learners will improve their employability skills by gaining the expertise required to analyse data, improve decision-making, enhance critical thinking and help companies gain a competitive advantage.

PGCBA program is approved by AICTE.

THE OBJECTIVES OF THE PROGRAMME:

► Analyse modern business analytics techniques

► Formulate business analytics problems.

► Imply historical analysis, variance analysis, trend analysis, value-based analysis, correlation, time series, regression, as well as machine and deep learning analysis