香港管理專業協會

Executive Diploma in Big Data, Data Analytics & AI

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  • 可獲發證書

課程資料

時間表
  • 2026年5月15日(週五) - 2026年8月28日(週五) 下午 7:00 - 下午 10:00
報名日期
2026年3月2日(週一) - 2026年5月9日(週六)
價錢
HKD 10,200
(HKMA Member: HK$9,600
Non-member: HK$10,200)
學習模式
修業期
4 月
教學語言
廣東話, 英語
地點
The Hong Kong Management Association 2-4/F Pico Tower, 66 Gloucester Road Wanchai, HONG KONG (Computer Room)
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
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課程簡介

INTRODUCTION
In the era of Big Data and Data Analytics, companies hold more data and information about their business environments than ever before. Increasingly, these companies are recognising the role of data science in leveraging current and historical data and out-thinking competitors. As a result, there is a growing demand for executives who have advanced Big Data, Data Analytics and AI skills and the ability to make informed decisions that drive organisational success. This course will explore those essential tools and techniques on Big Data & Data Analytics. Advanced topics like Machine Learning and AI will be introduced as well. The course comprises theories, case studies, exercise and experience sharing that would certainly help executives and employees to polish and improve their Big Data Analytics skills in everchanging business world. Students can also learn the latest Big Data and Data Analytics tools like: Python, Power BI, Azure AI and AWS AI cloud technologies etc.

DESIGNED FOR
- Executives and staff who will deal with data and information.
- Those who want to take up career in Big Data, Data Analytics and AI.
- All others who are interested in Big Data, Data Analytics & AI methodologies and implementation techniques that can help them in their daily business.

課程內容

Module 1: Big Data & Data Analytics 大數據及數據分析

  1. Introduction to Big Data
  2. Introduction to Data Analytics
  3. Application of Big Data and Data Analytics in Business
  4. Big Data as Digital Asset
  5. Data analytics in actions

Module 2: Data Driven Story Telling & Reporting 運用數據講故事的技巧及制作報告

  1. Introduction to Data Driven Story Telling
  2. Preparation of Quality Data
  3. Extract, Load and Transform
  4. Descriptive Analytics on Datasets
  5. Reporting and Dashboards

Module 3: Machine Learning and AI 機械學習及人工智能

  1. Predictive Analytics in action
  2. Machine Learning and AI Models
  3. AI in actions
  4. Project and Case Studies


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