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AI-Powered Business Analytics (Intermediate)

Programme Overview

Analytics is reshaping industry competition and organisations’ core businesses at an accelerating pace. In McKinsey Global Survey 2017, respondents say that the changes data and analytics have brought to their industries are growing in both magnitude and scope. Across industries, the use of analytics is increasingly changing the nature of competition in the industries significantly.

Transformational uses of analytics have been applied across major industries from education, entertainment and hospitality, financial services, health care, retail, supply chain, transportation, manufacturing and information technology sectors. These approaches have had a direct impact on the business outcomes.

Analytics plays a crucial role across industries and within the organisations.

Learning Objectives

At the end of the course, participants will be able to:

  • Understand the fundamentals of Business Analytics, including its purpose, key concepts, and basic principles.
  • Recognise the role of Artificial Intelligence in enhancing Business Analytics, with an overview of how AI powers analytical processes.
  • Gain insights into real-world applications of Business Analytics across major business domains and industries.
  • Learn a structured approach to adopting Business Analytics within an organisation to support data-driven decision-making.
  • Develop an exploratory data analysis (EDA) dashboard to effectively communicate insights and findings to stakeholders.

Instructors


Ms Samantha SowMs Samantha Sow

Ms Samantha Sow

Ms Samantha Sow

Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.
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NUS Computing, Advanced Computing for Executives (ACE)

11 Research Link
COM 3, #B1-07
Singapore 119391

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