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Data Pre-Processing for Data Analytics* (16 HOURS)

*This is a non-WSQ module.

Introduction

With the advent of Industry 4.0 and an ever-increasing use of the Internet of Things (IoT), data is now generated in numerous forms. That’s why this course is designed to provide the participants with a comprehensive introduction to the fundamentals of data pre-processing, which is a vital aspect of preparing data from various sources and sensors to be analyzed and mined for insightful discoveries.

Throughout the course, participants discover the significance of data pre-processing and its practical applications, as well as how to synchronize data and manage data complexity. They also gain hands-on experience with basic Python programming and Excel skills, working with both categorical and time-series data to normalize and transform it. Furthermore, the participants will also learn about feature engineering and selection with machine learning and artificial intelligence techniques, enabling them to prepare data for further analysis and mining for a wide range of practical applications.

About the Programme

This course is a two-day intensive programme aimed at helping participants master the art of Data Pre-processing for Data Analytics. Starting from foundational concepts to advanced techniques, this course equips learners with the essential skills to handle, clean, and optimise data for machine learning. The programme enhances the participants’ expertise in data normalization, transformation, feature engineering, and selection, thereby unlocking the full potential of their analytical endeavors.

Who Should Attend

This course is designed for professionals such as engineers, managers, researchers, IT support staff as well as management with relevant industry working experience on the topic.

Course Outline

The programme employs the Learn-Practise-Implement™ (LPI™) pedagogy, where fundamental knowledge and principles taught will be reinforced with hands-on practices.

Key focus areas or applications:

Introduction to Data Pre-processing
Data Normalization and Data Transformation
Preprocessing of Data For Machine Learning
Feature Engineering and Feature Selection

UPON COMPLETION OF THIS COURSE

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

Achieve at least 75% course attendance;
Take all assessments; and
Pass the course.

Note: Trainees will have to bear the full courses fee upon failure to meet either one of the criteria.

Pre-Requisites

Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.
Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.
Proficiency in written and spoken English.

Full Course Fee

The full course fee for this course is $1,600 before funding and prevailing GST.

Nett Course Fee

International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above (MCES) ²	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$1,744	$523.20	$203.20	$203.20

All fees are inclusive of GST 9%.

Please note that fees and funding amount are subject to change.

LONG TERM VISIT PASS PLUS (LTVP+) HOLDERS

The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.
All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

ENHANCED TRAINING SUPPORT FOR SMALL & MEDIUM ENTERPRISE (SMEs) SCHEME (ETSS)

The ¹Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme (ETSS) is for company-sponsored participants who are subject to the eligibility criteria shown below:

SMEs that meet all of the following eligibility criteria:

Registered or incorporated in Singapore
Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

Must be Singapore Citizens or Singapore Permanent Residents.
Courses have to be fully paid for by the employer.
Trainee is not a full-time national serviceman.

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

SKILLSFUTURE MID-CAREER ENHANCED SUBSIDY (MCES)

The ²SkillsFuture Mid-Career Enhanced Subsidy (MCES) is meant for employer-sponsored and self-sponsored Singapore Citizens aged 40 years old and above.

SkillsFuture Credit

All Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit (Opening SkillsFuture Credit and One-off SkillsFuture Credit Top Up) which can be used to offset course fees (for self-sponsored registrations only).

For more information on the SkillsFuture funding schemes you are eligible for, please visit www.skillsfuture.gov.sg

Note:

This course is eligible for SkillsFuture Credit (Mid-Career) only if you sign up and enrolled under the SkillsFuture Career Transition Programme (SCTP).
If you are applying only for this module, you can still use your Opening SkillsFuture Credit and One-Off SkillsFuture Credit Top Up to offset the course fee as a self-sponsored participant.

How course fees are calculated

TYPE	CATEGORY OF INDIVIDUALS
	International Participants	Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders	Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above	SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
	FUNDING SOURCE
	Not applicable for SkillsFuture Funding	SkillsFuture Funding (Baseline)	SkillsFuture Mid-career Enhanced Subsidy (MCES) ²	SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee	$1,600	$1,600	$1,600	$1,600
SkillsFuture Funding	Not Applicable	($1,120)	($1,440)	($1,440)
Nett Course Fee	$1,600	$480	$160	$160
GST 9%	$144	$43.20*	$43.20*	$43.20*
Total Nett Course Fee Payable to Training Provider	$1,744	$523.20	$203.20	$203.20

* Based on 30% of Full Course Fee

Contact Us

For technical enquiries, please contact:

Ms Su Myat Phyoe,
Email: su_myat_phyoe@SIMTech.a-star.edu.sg

For general enquiries, please contact:

Knowledge Transfer Office,
Email: KTO-enquiry@SIMTech.a-star.edu.sg

Registration

Please register for this course through our Course Registration Form for Public Classes.
For the first question, please select "Modular Programmes".
Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
Once the next intake is confirmed to commence, SIMTech will contact the applicants to share the class information.

Collateral

Download brochure

Schedule

Module	Skills Course Reference Number	Next Intake(s)'s Training Period (Click on the dates to view its schedules)	Registration Status
Data Pre-Processing for Data Analytics (16 hours)	TGS-2023039421	The next intake's schedule is still in the planning stage.

Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.

Sessions

: Full day