
About Programme
Leverage data mining and generative AI to uncover insights, automate decision-making, and drive business innovation.
"Data mining is so pervasive today that you can find its applications in every business and within the purview of routine activities. The primary objective of this course is to introduce participants to key data mining techniques and generative AI technologies, highlighting their transformative impact on business processes and decision-making. Participants will learn about the theoretical underpinnings of these fields and develop practical insights into their applications. The course draws from short case studies and discusses best practices in data mining, machine learning, and generative AI. Participants will gain hands-on experience handling data mining and generative AI problems using Orange software and various open-source and closed-source generative AI tools. Objectives On successful completion of the course, participants should be able to: 1. Understand what business analytics entails and how businesses include data mining and generative AI as part of their strategy. 2. Gain a high-level understanding of supervised learning, unsupervised learning, and generative AI models. 3. Learn best practices in data mining and generative AI and how these technologies can be applied in practical business scenarios. 4. Gain hands-on experience with Orange and generative AI tools for business applications. 5. Develop managerial insights into the promises and pitfalls of data mining and generative AI methodologies.
Pedagogy
A hands-on, application-oriented approach combining concepts, tools, and real-world problem solving.
Lectures, Discussions & Tool Demonstrations
Build foundational understanding through structured sessions, real-world examples, and live demos.
Hands-on Exercises & Practice
Apply concepts through practical exercises using data mining tools and generative AI techniques.
Team-Based Projects
Work collaboratively to solve real-world business problems using data-driven approaches.
Application & Integration Learning
Synthesize concepts, tools, and insights into actionable solutions for workplace implementation.
Programme Audience
Mid-Level Managers
Professionals seeking to leverage data and AI for better decision-making.
Team Leaders Across Functions
Leaders responsible for applying analytics in day-to-day business operations.
Professionals with Analytical Orientation
Individuals with basic knowledge of statistics and computing looking to build applied AI skills.
Emerging Data & AI Practitioners
Professionals aiming to develop hands-on capability in data mining tools and generative AI.
Programme Benefits
A hands-on, application-oriented approach combining concepts, tools, and real-world problem solving.
Lectures, Discussions & Tool Demonstrations
Build foundational understanding through structured sessions, real-world examples, and live demos.
Hands-on Exercises & Practice
Apply concepts through practical exercises using data mining tools and generative AI techniques.
Team-Based Projects
Work collaboratively to solve real-world business problems using data-driven approaches.
Application & Integration Learning
Synthesize concepts, tools, and insights into actionable solutions for workplace implementation.
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Prashansa Uttam
Programme Advisor
XLRI - Xavier School of Management
Executive Education Office
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