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    Managing People with Data (Classroom & Synchronous E-Learning)
    National University of Singapore Business School

    Managing People with Data (Classroom & Synchronous E-Learning)

    National University of Singapore Business School, Singapore
    HomePeople & OrganizationNational University of Singapore Business SchoolManaging People with Data (Classroom & Synchronous E-Learning)
    6 daysDuration
    in-personFormat
    EnglishLanguage
    People & OrganizationTopic

    Next Available Cohort

    Choose your preferred start date

    Sep 17 - Sep 24, 2026
    6 days · in-person · Instructor-Led · Singapore Campus
    Open
    $2,943

    All-inclusive program fee

    About This Program

    Learn to use data driven techniques and tools in people management within your organization. This blended short course aims to bring you to the forefront of cutting-edge analytics and algorithmic applications in the domains of recruitment, retention, strategy execution, and organizational re-design. Through rigorous and in-depth exploration, you will acquire the skills to analyze and reconstruct complex organizational issues, break them down into fundamental components (or "micro-structures"), and identify best practices in people management. The course will also equip you with the ability to critically assess evidence and data relevant to organizational challenges, ensuring that your decisions are grounded in robust analytical insights. By the end of the course, participants will be adept at identifying and articulating the appropriate data and measures for gaining insights into people-related questions. You will appraise and select the most suitable analytical techniques for deriving valid insights and objectively evaluate the effectiveness of various organizational designs, including managing tools and team structures. This course is invaluable for those who will lead groups of people to achieve organizational goals, preparing you for emerging work situations such as remote work and the integration of advanced technologies like Artificial Intelligence (AI) and Decentralized Autonomous Organizations (DAO).

    Why National University of Singapore Business School?

    NUS Business School sits at the intersection of Asian markets and global management thinking in a way few schools can match. Its location in Singapore, one of the world's principal financial and trade hubs, gives executive participants direct access to Southeast Asian deal flows, regulatory environments, and corporate networks that are genuinely difficult to replicate anywhere else. The school's Asia-focused research depth, combined with strong ties to multinational corporations headquartered in the region, makes it a practical choice for leaders who need to operate across Asia-Pacific.

    Your Profile

    • Leaders, managers, professionals, executives in any organization, including Human Resource (HR) and strategy execution teams.

    Benefits

    • Synthesize an up-to-the-minute grounding in current evidence about managing people and establish a knowledge base that ensures your future management of people is guided by best practices.
    • Analyse and reconstruct complex organizations and organizational issues by breaking them down into a few basic building blocks (or "micro-structures").
    • Critically assess the evidence or evidence-like statements one encounters relevant to organizational problems.
    • Identify and articulate the appropriate types of data and measures that can provide insights into people questions.
    • Appraise and select analytical techniques most appropriate for deriving valid insights.
    • Objectively evaluate effectiveness of organizational designs (e.g., managing tools, team designs, etc.)

    What You'll Learn

    • Session 1 (On campus, 17 Sep 2026): Soft stuff, hard problems! Introduction to data inside organizations; A Beautiful Mindful Analyses: How to test your hypothesis?; In-class group exercise; Assignment.
    • Session 2 (Online, 22 Sep 2026): Letting the Data speak! Understanding the concept of Machine Learning.
    • Session 3 (Online, 23 Sep 2026): Letting the Data speak! Understanding the concept of Machine Learning.
    • Session 4 (On campus, 24 Sep 2026): Letting the Data speak? Making predictions using Machine Learning; In-class group exercise; Just cause: What is randomization in A/B testing?; In-class group exercise; Assignment.

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