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

*This is a non-WSQ module.
Data PreProcessing for Data Analytics

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 course 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)

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)

SkillsFuture Credit

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

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

About The Trainer

We are in the process of updating this section.

Registration

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  • Please register for this course through our online form: Course Registration Form for Public Classes.
  • For the first question, please select "Modular Programmes (Standalone Modules)".
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Collateral

Download brochure

Data PreProcessing for Data Analytics

Contact Us

Please contact the Knowledge Transfer Office for enquiries at Email: KTO-enquiry@a-star.edu.sg

Schedule

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

Note: A*STAR SIMTech and A*STAR 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.
  • Participants will be provided with digital course materials when attending our courses. Please note that printed copies will not be available.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

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