Course Information
Schedules
- 19 Nov 2024 (Tue) - 19 Jul 2025 (Sat) 6:45 PM - 9:45 PM
Registration period
9 Aug 2024 (Fri) - 18 Oct 2024 (Fri)
Price
CEF Reimbursable
Course Level
Study Mode
Duration
90 Hour(s)
Language
Cantonese, English
Location
Central Learning Centre
8 views
Course Overview
This programme is targeted for participants who are interested to learn how to extract and analyze data to obtain valuable information and knowledge by using the popular data mining and machine learning algorithms. While theoretical and mathematical knowledge will also be introduced, the programme will focus on real-life applications of readily available data mining and machine learning techniques and algorithms to help participants to apply the knowledge at their own context. Common data mining tools such as R and Python will be used for the students to do hands-on practices. Ethical and privacy issues will also be discussed.
Admission Requirements
Applicants shall have basic knowledge of database* and computer programming+, and
1. completion of secondary education, or equivalent; or
2. aged 21 or above.
Remark:
* database such as Access, MySQL, etc
+ computer programming such as Python, Java, etc.
What You’ll Learn
Content :
1. Introduction to Data Mining (30hr)
Data are collected everywhere now with advancement in technology, and how to effectively identify patterns and useful information in such data is essential for learning, forecasting and knowledge discovery purposes. The course will provide opportunities for students to learn the basic concepts of data mining and how to discover useful information in daily-life context.
2. Machine Learning Algorithms (30hr)
Machine learning is one of the fastest-growing and exciting areas with wide range of possible applications. In this course, the participants will develop a clear understanding of the motivation for machine learning, and design small-scale intelligent systems that can learn from complex and or large-scale datasets.
3. Applications of Data Mining and Machine Learning (30hr)
This course will help participants to apply data mining and machine learning techniques to practical applications such as stock forecasting, social media marketing and scientific applications.
