Analytics and Computational Modelling

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Analytics and Computational Modelling

Overview

Course Date:
TBA
Registration Period:
TBA
Time:
TBA,
16 hours / 2 days
Mode of Training:
TBA
Venue:
Singapore Polytechnic
Funding:
Eligible for SkillsFuture Credit

*Please note that once the maximum class size is reached, the online registration will be closed.
You may register your interest, and would be notified if there is new run.

Course Objective

The practice of Data Analytics across industries requires data mining, machine learning, and computational modelling skills.

For example, Industries like Telcos use Machine Learning and Computational techniques to identify customer behaviours and offer targeted campaigns and products. Financial services uses Machine Learning and Computational techniques for identification of Fraud and prediction of loan default and Manufacturing industry uses Machine Learning and Computational techniques for Preventive Maintenance and Inventory Optimization.

Our aim is to equip participants with the ability to identify and utilise appropriate algorithmic techniques to solve relevant business problems, and identify and utilise appropriate advanced statistical, machine learning, computational algorithms and data models to test hypotheses and derive patterns or solutions.

Course Outline

• Introduction to Computational Modeling
• Hands on exercise on concepts of Computer Modeling
• Pitfalls of Computational Modeling Techniques
• Introduction to Optimisation
• Hands on exercise on simple optimization concepts
• Introduction to Computational Intelligence and Machine Learning algorithms
• Pitfalls of Advanced Analytics, Machine Learning and Computational Modeling Techniques and how to avoid them
• Hands on exercise on Analytics using Computational Intelligence and ML

Minimum Requirements

1. Knowledge of Introductory Statistics, Analytics, Computational techniques or relevant skill preferred
2. Participants are required to bring their own laptops for this training
3. Basic understanding of a programming language is preferred but not mandatory

Certification / Accreditation

• Certificate of Attendance (electronic Certificate will be issued)
A Certificate of Attendance will be awarded to participants who meet at least 75% attendance rate

• Certificate of Completion (electronic Certificate will be issued)
A Certificate of Completion will be awarded to participants who pass the assessment and meet at least 75% attendance rate

Suitable for

IT Analysts, Data Analysts, Technical Leads, IT Engineers, Data Engineers, Software Developers

Course Fees

Full Fees (before GST): $1,200.00

Applicants/Eligibility	SkillsFuture Funding	GST*	Subsidised Fee (after GST)
Singapore Citizens aged 40 and above¹	$1,080.00	$32.40	$152.40
Singapore Citizens aged below 40	$840.00	$32.40	$392.40
Singapore Permanent Residents and LTVP+ Holders	$840.00	$32.40	$392.40
SME-sponsored Singapore Citizens, Permanent Residents and LTVP+ Holders²	$1,080.00	$32.40	$152.40
Others (Full fees payable)	$0.00	$108.00	$1,308.00

As per SSG’s policy, the GST payable for all funding-eligible applicants is calculated based on prevailing GST rate after baseline funding subsidy of 70%

Singaporeans aged 25 years and above may use **SkillsFuture Credit balance to offset respective course fees.

¹ Under the SkillsFuture Mid-career Enhanced Subsidy. For more information, visit the SkillsFuture website here.
² Under the Enhanced Training Support for Small & Medium Enterprises (SMEs) Scheme. For more information of the scheme, click here. To view SP’s list of similar funded courses, click here. Please submit the attached “Declaration Form for Enhanced Training Support Scheme for SME” together with your online application.

Funding Incentives

Please click here for more information on funding incentives.