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    05 Th10

    Announcement on the FiinPro-X data exploration training session for learning, teaching, and scientific research

    • 15:12:24
    1. Home
    2. Announcement

    To support lecturers, university staff and employees, postgraduate students, and undergraduate students of Ho Chi Minh University of Banking (HUB) in effectively utilizing data from the FiinPro-X system for learning, research projects, graduation theses, master's theses, and scientific research, The Information - Library Center of Ho Chi Minh University of Banking (HUB), in collaboration with FiinGroup, will organize an online training session entitled “Exploring Data on the FiinPro-X System for Learning, Teaching, and Scientific Research.”

    Training content
    The training session will provide participants with guidance on:
    - Introduction to the FiinPro-X system and its data resources;
    - Exploring economic, financial, and macroeconomic data on the FiinPro-X system;
    - Utilizing the Bond Portal feature;
    - Registration procedures and guidance on using the FiinPro-X service at The Information - Library Center;
    - Interactive discussions and a Q&A session with the trainers.

    Program information

    Trainers: Training specialists from The Information - Library Center and FiinGroup.
    Participants: Lecturers, university staff and employees, postgraduate students, and undergraduate students of Ho Chi Minh University of Banking (HUB).
    Format: Online via Zoom.
    Time: 9:00 AM, Saturday, October 17, 2026.


    Duration: 90 minutes.

    The Zoom meeting link will be sent to registered participants via email and published on the website and fanpage of The Information - Library Center.

    Registration

    👉 Registration link: https://forms.gle/bfohSjbtCAkej1Tr7

    ⏰ Registration deadline: October 15, 2026.

    The Information - Library Center cordially invites all lecturers, university staff and employees, postgraduate students, and undergraduate students of HUB to register for the training session to enhance their data exploration skills for learning, teaching, and scientific research.

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