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Professional Training Workshop 2025

Professional Training Workshop 2025

Data Analytics and Machine Learning over Cloud Platform

19th – 21st May 2025 (Monday to Wednesday) 
Decision Sciences Technology Laboratory (A211), S H Ho Academic Building
The Hang Seng University of Hong Kong

Introduction

In today's digital landscape, data analytics and machine learning are essential for driving innovation and decision-making. For implementing these technologies, cloud platforms offer scalable and efficient solutions. This workshop aims to equip participants with the skills to leverage cloud-based tools of data analytics and machine learning for transforming business processes and innovating new business models.

Objectives

  • Understand the fundamentals of data analytics and machine learning
  • Explore cloud platforms suitable for these technologies
  • Implement data analytics and machine learning solutions on the cloud
  • Analyze real-world data sets using cloud tools (e.g. AWS Cloud, Microsoft Power Automate, Microsoft Power BI, Simio DES Platform, Google Colab)

Learning Outcomes

This workshop provides a comprehensive introduction to data analytics and machine learning using cloud platforms, offering firsthand experience and practical knowledge. Participants will leave equipped with the tools and skills needed to implement data-driven solutions in their organizations.

Workshop Structure

  • THREE full-day workshops with two 3-hour sessions each day
  • Venue: Decision Sciences Technology Laboratory (A211), S H Ho Academic Building, HSUHK
  • Quota: 28
  • Medium of language: English

Day 1: Introduction to Data Analytics and Cloud Platforms

Session 1:
  • Speaker: Dr CHU Chun Fai, Carlin (朱振輝博士)
    Assistant Professor
    MSc-DSAI Associate Programme Director (HK)
    The Hang Seng University of Hong Kong
  • Topic: Fundamentals of Data Analytics and Machine Learning 
    • Overview and key concepts
    • Applications of data analytics, machine learning and cloud technology
    • Hands-on exercise over cloud platform (e.g. AWS System)
Session 2:
  • Speaker: Dr WU Chun Ho, Jack (胡鎮浩博士)
    Associate Professor
     Associate Head of Cloud Innovation School
    BSc-BAIM Programme Director
    The Hang Seng University of Hong Kong
  • Topic: Introduction to Cloud Platforms and Blockchain
    • Overview of cloud computing
    • Benefits for data analytics and blockchain machine learning
    • A simulation game for learning Blockchain

Day 2: Data Analytics for Process Automation and Simulation

Session 3:
  • Speaker: Dr LAM Hoi Yan, Cathy (藍凱欣博士)
    Assistant Professor
    BSc-BAIM Associate Programme Director
    Director of Big Data Intelligence Centre
    The Hang Seng University of Hong Kong
  • Topic: Introduction to Data Analytics and Process Automation
    • Key concepts and algorithms
    • Using cloud tools for data processing (e.g. Microsoft Power Automate & Power BI)
    • Process automation and business analytics
Session 4:
  • Speaker: Dr TANG Valerie (鄧慧盈博士)
    Assistant Professor
    The Hang Seng University of Hong Kong
  • Topic: Simulation Model for Business Analytics
    • Introduction to simulation model (e.g. Simio)
    • Building and evaluating models and techniques
    • Hands-on exercise of simulation model

Day 3: Advanced Techniques and Case Studies

Session 5:
  • Speaker: Mr CHAN Kin Wing Kenneth (陳健榮先生)
    Senior Lecturer
    The Hang Seng University of Hong Kong
  • Topic: Advanced Data Analytics and Machine Learning Techniques
    • Training and evaluating models on the cloud
    • Analytical techniques and visualization
Session 6:
  • Speaker: Dr HO To Sum, George (何道森博士)
    Associate Professor
    Associate Director (Digital Learning) of Centre for Teaching and Learning
    BBA-SCM Programme Director
    The Hang Seng University of Hong Kong
  • Topic: Real-world Case Studies
    • Analyzing real business cases and the use of datasets
    • Generating data-driven insights and reporting

Click HERE to view the Professional Training poster and detailed rundown. 

Materials Provided

  • Workshop slides and notes
  • Access to cloud platform trial accounts
  • Sample datasets for practice

Eligibility

Individuals with a bachelor's degree or higher who are interested in pursuing graduation roles in data analytics and machine learning: Data Analysts, IT Professionals, Business Analysts and Applied Big Data Management.

Registration

  • Course Fee:
HKD$1250 (Early bird)

(Due Date: 27th March 2025)

HKD$1550 (Regular)

(Due Date: 24th April 2025)

Co-organisers

  • Cloud Innovation School (CIS) of The Hang Seng University of Hong Kong
  • Graduate School (GS) of The Hang Seng University of Hong Kong

Hang Shin Link, Siu Lek Yuen, Shatin, N. T., Hong Kong
Tel: (852) 3963 5620
Email: gs@hsu.edu.hk
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