Amity Business School, Global Leadership Research Conference

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GLRC 2024

9th GLOBAL LEADERSHIP RESEARCH CONFERENCE (GLRC 2024) | Selected papers will be published by SPRINGER NATURE in their prestigious Springer Proceedings in Business and Economics.

7th to 9th February 2024

Pre-Conference

Preconference Workshop: Python for Multidisciplinary Data Analysis

7^th Feb 2024

Background

The economies are growing faster than ever. Organizations are generating huge amount of data and to analyze it technology is also advancing at the same pace. Artificial Intelligence (AI) & Machine learning (ML) has been an area which has emerged rapidly in the recent decade. Companies across the globe, irrespective of their size are looking forward to technologies which will help them in business continuity plans. These technologies help in developing a intelligent computer system which can adapt, evolve and learn. These technologies are the pillars of Industry 4.0. Hence there has been an increasing demand of AI & ML.

Hence it becomes imperative for us to have knowledge of the technologies which makes machines intelligent. The primary objective of the workshop is to disseminate techniques of business analytics using python to understand Multidisciplinary Data Analysis

Keeping in mind these points, we are organizing a workshop with the following objectives.

Workshop Objectives

Provide an introduction to theoretical aspects of AI & ML
Provide an understating of impact of AI & ML on future of work and organizations
To learn about Python basics and tools
To understand the concept of supervised and unsupervised learning
To learn about various libraries of Python and their utility
To understand the importance of visualization in analytics and learn visualization using Python

Target Participants

Research Scholars from different disciplines mainly management, social sciences, sciences etc.
Research scholars who are willing to learn python and data analysis
Academia and faculty
Industry Experts

Workshop Outcomes

Focus on applying practical solutions and gain business value
Insightful and collaborative discussions
Facilitating cross-disciplinary interaction
Provide a platform for academicians and practitioners to learn about AI & ML

Pedagogy

The resource persons will provide in-depth knowledge of the concepts. Hands on training with data sets will be further provide a better understanding through application.

Resource Persons

Resource persons are highly knowledgeable faculty and industry professionals in Artificial Intelligence & Machine learning.

SESSION Facilitators:

Dr.Anita Venaik

Dr.Samarth Sharma

In collaboration with Inferential Survey Statistics and Research Foundation