Certificate in Machine Learning and Predictive Analytics

Machine Learning Applications in Data Science

Module Code: IT524041Q
Duration: 24 hours
Course Fee: (To be confirmed)

Intended Learning Outcomes

On completion of the module, students are expected to be able to:

  • explain the lifecycle and major steps involved in tackling a data science problem;
  • identify basic data types, syntax, program structures and built-in libraries of Python;
  • illustrate supervised and unsupervised learning techniques for building predictive models; and
  • apply open machine learning libraries to solve practical problems.

Entry Requirements

  • Five HKDSE subjects at Level 2 or above, including English and Chinese Languages, plus at least one year of relevant work experience, or equivalent; or
  • Five HKCEE subjects at Grade E/Level 2 or above, including English and Chinese Languages, plus at least two years of relevant work experience, or equivalent ; or
  • Completion of a QF Level 3 programme that is deemed acceptable to the respective Programme Board plus at least one year of relevant work experience; or
  • Relevant RPL qualification(s) at QF Level 3 or above plus at least one year of relevant work experience AND a pass in an entrance assessment, which can be either oral or written; or
  • Other relevant verifiable prior learning plus at least two years of relevant work experience that are deemed appropriate by respective Programme Board AND a pass in an entrance assessment, which can be either oral or written.

Award

A Module Certificate is awarded upon completion of each module, i.e. pass the assessment. An attendance certificate is also issued with an attendance rate of at least 70% of a module.


Note :
This module is one of the three modules of IT524117P Professional Certificate in Machine Learning and Predictive Analytics
This module is one of the six modules of IT524115P Professional Diploma in Data Science and Predictive Analytics