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Institute of Management Development and Research(IMDR)
Reg.No : 335/93, established in 1993 under the Travancore-Cochin Library, Scientific and Charitable Societies Act.
Reg.No : 335/93, established in 1993 under the Travancore-Cochin Library, Scientific and Charitable Societies Act.
Management researcher is a quarterly publication of IMDR. The journal was launched in 1994 with the objective of communicating the results of research, consultancy and educational activities. Management Researcher is approved by the Board of studies of several universities in India and therefore continues to be a research publication widely in demand among researchers and academicians. It has both online and offline publication mode.
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The Institute publishes a peer reviewed journal with an ISSN No: 2230-8431 named 'MANAGEMENT RESEARCHER'. This Journal is a quarterly publication with inputs from across the country in terms of scholarly articles, research outputs and contemporary discussions. The first issue was launched in 1994 with the objective of communicating the results of research, consultancy and educational activities. This journal is approved by the Board of Studies of several Universities in India and therefore continues to be a research publication widely in demand amongst researchers and academicians.
The IMDR College of Advanced Studies (I-CAS) is a College established in 2019 under the Institute of Management Development and Research (IMDR) and affiliated to the University of Kerala. I-CAS is led by a galaxy of eminent academicians and professionals with loads of experience in the field of Commerce and Management disciplines. The main objective of I-CAS is to offer quality education in Business Studies for undergraduate Programmes of the University of Kerala in accordance with the current trends in the world of business
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Data Analytics is rapidly growing field and large-scale employment opportunities are project both at national and international level. It is the study of the extraction of knowledge from data for getting insights to enable decision making. A data scientist requires an integrated skill set spanning mathematics, statistics, machine learning, databases and other branches of computer science along with a good understanding of the craft of problem formulation to engineer effective solutions. This course will introduce students to this and equip them with its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication. The focus in the treatment of these topics will be on breadth, and emphasis will be placed on integration and synthesis of concepts and their application to solving problems. To make the learning contextual, real datasets from a variety of disciplines will be used.
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