Business Applications Relying on Supervised Learning

Short Course

Business Applications Relying on Supervised Learning

Programme Schedule	Duration (days)	Mode of Delivery	Programme Code
To be advised	2	Classroom Learning	TGS-2022015670

Course Overview

This course helps learners understand how to apply supervised learning techniques to business applications. Topics such as different supervised learning techniques, business applications and case studies, build and evaluate the predictive models using real-life business datasets will be covered.

Course Objectives

At the end of this course, learners will be able to:

Understand several useful supervised learning techniques, e.g. decision tree, linear regression and neural networks
Apply supervised learning techniques to solve real-life business problems, e.g. fraud detection and regression analysis
Identify the business problem, build supervised learning models, compare the model performance and finalise the business solution

Who Should Attend

Executives, Developers, Designers and Managers in Information Technology related fields, business development, strategic planning and operations.

Prerequisites

Knowledge of Rapidminer
Minimum Diploma in IT or related fields

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This programme is part of

Professional Certificate in Machine Learning for Business

Types of Available Fundings

SkillsFuture Funding

SkillsFuture Credit

Enhanced Training Support

SFEC

UTAP

PSEA

Testimonials

Very useful for those looking at using ML for data analytics, mining and deep learning.

The introduction to the concepts were clear for me though I am someone with non science/math background. Good overview. I need more time to get accustomed to IT software and terminology to be able to apply basic exercise.

Amazing course! Learned a lot.

Instructors

Dr Natarajan Prabhu

Programme Fees

	Singapore Citizens		Singapore PRs	Enhanced Training Support for SMEs	International Participants
	39 years old or younger	40 years old or older	Singapore PRs	Enhanced Training Support for SMEs	International Participants
Full Programme Fee	S$2,100.00	S$2,100.00	S$2,100.00	S$2,100.00	S$2,100.00
Less: SSG Grant Amount	S$1,470.00	S$1,470.00	S$1,470.00	S$1,470.00	-
Nett Programme Fee	S$630.00	S$630.00	S$630.00	S$630.00	S$2,100.00
9% GST on Nett Programme Fee	S$56.70	S$56.70	S$56.70	S$56.70	S$189.00
Total Nett Programme Fee Payable, Including GST	S$686.70	S$686.70	S$686.70	S$686.70	S$2,289.00
Less Additional Funding	-	S$420.00	-	S$420.00	-
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes	S$686.70	S$266.70	S$686.70	S$266.70	S$2,289.00

Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.

Other Information

This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.
Learn more about supervised learning in our article, “Demystifying Supervised Learning: A Beginner’s Guide”. Or, download a PDF copy.

Dr Natarajan Prabhu

NUS Computing, Advanced Computing for Executives (ACE)