Course Information
Schedules
- 15 May 2026 (Fri) - 28 Aug 2026 (Fri) 7:00 PM - 10:00 PM
Registration period
2 Mar 2026 (Mon) - 9 May 2026 (Sat)
Price
HKD 10,200
(HKMA Member: HK$9,600
Non-member: HK$10,200)
(HKMA Member: HK$9,600
Non-member: HK$10,200)
Study Mode
Duration
4 Month(s)
Language
Cantonese, English
Location
The Hong Kong Management Association 2-4/F Pico Tower, 66 Gloucester Road Wanchai, HONG KONG (Computer Room)
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
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Course Overview
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.
What You’ll Learn
Module 1: Big Data & Data Analytics 大數據及數據分析
- Introduction to Big Data
- Introduction to Data Analytics
- Application of Big Data and Data Analytics in Business
- Big Data as Digital Asset
- 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
- Introduction to Data Driven Story Telling
- Preparation of Quality Data
- Extract, Load and Transform
- Descriptive Analytics on Datasets
- Reporting and Dashboards
Module 3: Machine Learning and AI 機械學習及人工智能
- Predictive Analytics in action
- Machine Learning and AI Models
- AI in actions
- Project and Case Studies
