Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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You might also be interested in
Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Loading schedule information...
You might also be interested in
Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Loading schedule information...
You might also be interested in
Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Loading schedule information...
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Overview
The objective is to tackle an increasingly important challenge in any analytics scenario, which is "How do I move and shape a diverse array of dynamic datasets from disparate sources?". The approach taken in this module will be to stream a wide variety of data into Microsoft Excel table structures, using its “Get Data” and “Power Query” features. This learning will take the form of teamwork centred on a series of escalating data wrangling challenges taken from real-world scenarios. The application of third-party data via API will be featured.
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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Overview
The Chartered Fintech Professional (CFtP) qualification aims to promote the Fintech sector and raise the level of professionalism within the industry both locally and globally and provides a pathway for professionals from other industries who aspire to embark on a career in Fintech. This CFtP training course is a preparatory course which prepares Fintech professionals for the CFtP certification examinations. Upon successful completion of all the examinations as well as satisfying work experience requirements, candidates will be awarded the Charter.
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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Overview
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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Overview
The course is designed to equip participants with practical, tangible, and interpretable predictive analytics and machine learning using R language. The six modules provide step-by-step guidance to participants to train, and test supervised and unsupervised machine learning models in numerical, categorical, and text data.
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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Overview
Participants will learn to execute predictive models when given prediction tasks dealing with text. Along with supervised learning of text data, the module also teaches unsupervised learning of text data with topic modelling to discover clusters within them. More importantly, they will learn to pre-process text data, feeding features developed from text mining into modelling pipelines. In addition, natural language features like tokenisation, stop words, stemming, word embeddings and their use in executing text classification and topic modelling will be introduced.
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
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