Indian Statistical Institute started the Statistical Quality Control and Operations Research (SQC & OR) units at various parts of India to provide training and consultancy services to industries and to undertake research in quality, reliability, operations research and related areas.
Over the years, the SQC & OR division has become a pioneer and leader in blending statistical theory with practice, an institution developing highly skilled professionals capable of self-actualization and a firm of consultants & researchers helping industries in their effort to cope up with the growing challenges of global competition
MS-QMS is a two-year program offered by Indian Statistical Institute with the first year at Bangalore and second year at Hyderabad. The course is designed to create data scientists with exceptional skills in statistics, machine learning, operations research and quality as major fields. The program is designed in such a way that the students are given sound theoretical knowledge with live project applications needed for data science, business analytics, machine learning, statistical modelling, optimization and quality management. More details
Statistical Quality Control (SQC) has acquired great significance in India in the context of rapidly growing industrialisation and economic activity. Consequently, there has been a growing demand from the industry for persons trained in techniques and approach of SQC. This course which leads to a Certificate in Statistical Quality Control is designed to fulfil the above need. Also, successful candidates will be provided with Six Sigma Green Belt certification. It will be particularly useful to persons employed in the middle / operational level belonging to any functions in industrial, commercial and scientific institutions. More details
This program is designed to equip professionals with the capabilities in extracting implicit, previously unknown and potentially useful knowledge from large atasets
This program is designed to equip professionals with the knowledge on various time series and regression methods for developing forecasting models
This program is designed for providing hands-on experience to participants on various statistical and machine learning techniques for predictive modeling using python
Six-Sigma is a data-driven process improvement methodology. The program aims to provide an overview and understanding of this methodology to the participants and to equip them with how to deal with problems so that these people can work as internal resource personnel and assist the Black Belts / Master Black Belt effectively in the organization.
Six Sigma is being perceived to take people to a higher level of performance with fewer mistakes while making it a strategic option for transforming an organization. Six Sigma is a Program to be owned and led by leadership orienting strategically towards market
place and customer satisfaction.
Six Sigma initiative has become a rage. Every organization wants to implement Six Sigma approach in anticipation of improving market penetration and organizational speed at the same time reducing the cost of doing business. Six Sigma is described as a methodology to improve business processes and is supposed to provide metrics that strives for near perfection.
The participants will acquire the knowledge on problem solving using design of experiments, developing robust products and processes, usage of various types of designs namely fractional factorial experiments, Plackett Burman designs, central composite designs, Box Behnken designs, response surface methodology, etc.
The training session shall include topics like introduction to multivariate analysis, review of matrix algebra, multivariate normal distribution, cluster analysis, principal component analysis, factor analysis, discriminant analysis, multivariate analysis of variance (MANOVA), multivariate control charts, etc
This course will present and discuss the analyses of many different life data analysis applications in the area of product reliability and materials evaluation. The analyses illustrate the use of a mix of proven traditional techniques, enhanced and brought up to date with the modern computer-based methodology
The recent clientele of SQC & OR Unit's training & consultancy services:
|U H Acharya||Faculty||+91 94483 firstname.lastname@example.org|
|Somnath Ray||Faculty||+91 98452 email@example.com|
|Sanjit Ray||Faculty||+91 94482 firstname.lastname@example.org|
|E V Gijo||Faculty||+91 94483 email@example.com|
|Boby John||Faculty||+91 94487 firstname.lastname@example.org|
|Anupama N R||Staff||080 email@example.com|
|M Venkatesh||Staff||+91 98808 95881|