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Online Certification Program on Business Analytics and Data Mining

Online Certification Program on Business Analytics and Data Mining

Online Certification Program on Business Analytics and Data Mining

About Online Certification Program on Business Analytics and Data Mining
During December 2020 – February 2021 [16 days]

 

Conducted by:

 

SQC & OR Unit, Mumbai
Indian Statistical Institute,
Room No 320, 3rd Floor Old C G O Building
101 Maharshi Karve Road, Mumbai 400 020:
Tel 22014588 / 22004574
email: sqcbombay(at)gmail.com
www.isimumbai.co.in

 

Introduction:

 

Business analytics refers to the skills, technologies, practices for continuous iterative exploration and investigation of past business performance to gain insight and drive business planning. Data mining is the set of methods and techniques for exploring and analyzing large data sets, in an automatic or semi-automatic way, in order to find among these data certain unknown or hidden rules, association or tendencies. Both the topic requires analysis of data using statistical and quantitative techniques using various software. This program is planned to impart basic skill of data analysis is using appropriate statistical techniques and machine learning techniques.

 

About the Institute:

 

The Indian Statistical Institute is a quasi central organization under the Ministry of Statistics & Programme Implementation. It is declared by an Act of Parliament as an Institute of National Importance. Over the years the Institute has grown as a multidisciplinary organization. It functions as a University empowered to award degrees up to Ph.D.; as a Corporation in undertaking large scale projects; as a Firm of Consultants to industries to improve Quality, Reliability and Efficiency and as a meeting place.

 

Programme Objectives:

 

This program is designed to guide business analytics/ data mining professionals in extracting implicit, previously unknown and potentially useful knowledge from large data sets, developing performance models & usage of optimization techniques.

 

For more information and Application format refer the Information Document

 

 

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