Course Overview

Artificial Intelligence, Machine Learning, Big Data and Natural Language Processing form the pillars of the emerging discipline of data science. Managers who lead data science teams are required to possess a sound understanding of the underlying technologies. More importantly, they must also be able to communicate the strategic benefits of their efforts to stakeholders. The field of information systems provides the appropriate frameworks to build the business case for data science initiatives, and to analyse the shifts brought about by its application.

Programme Objective

This certificate series in data science exposes the participants to a large set of frameworks and technologies, and prepare them for data-intensive roles in retail, healthcare, marketing, supply chain management, finance, insurance and other industry sectors. The modules in the programme are suitable for managers who wish to develop a programming-oriented appreciation for their individual domains. Projects drawn from their own workplace settings will help them with the assimilation of the topics. By attending and completing the requirements of the Programme on DS & AI, the participant will learn how to:

• Develop a business perspective of the dynamic discipline of data science
• Gain a foundational understanding of the four pillars of data science: AI, ML, Big Data and NLP
• Solve computational problems using a personal laptop as well as a cluster
• Construct a business proposal for a data science initiative
• Identify ways in which organizations can inculcate a culture of data driven decision making

Key Benefits:

• Develop a business perspective of the dynamic discipline of data science
• Gain a foundational understanding of machine learning, big data and AI
• Solve computational problems using a personal laptop as well as a cluster
• Construct a business proposal for a data science initiative
• Identify ways in which organizations can inculcate data-driven decisions