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WSQ - Data Mining and Machine Learning Fundamentals for Beginners

WSQ - Data Mining and Machine Learning Fundamentals for Beginners

Upgrade your data skills with our cutting-edge WSQ Data Mining and Machine This course introduces the fundamentals of Data Mining and Machine Learning, equipping beginners with the necessary skills to apply these principles in assessing business insights and integrating information from datasets for informed decision-making. Participants will gain a solid understanding of the data mining process, the impact of machine learning, and how to leverage these for accessing business insights. Through hands-on learning, the course covers data preparation techniques including import/export, filtering, cleaning, and joining data to ensure quality inputs for analysis.

Delving deeper, the course explores advanced techniques such as predictive data modeling to identify trends, machine learning classification to uncover insights, and clustering techniques for pattern discovery. Participants will also learn about dimension reduction to develop prototype algorithms and construct association rules for pattern identification across multiple datasets. By the end of the course, learners will have the ability to apply these techniques effectively to solve real-world business problems, paving the way for innovative solutions and strategic decisions.

Learning Outcomes

By the end of the course, learners will be able to

Apply data mining and machine learning principles to assess business insights.
Integrate information from datasets.
Apply predictive data modelling techniques to identify underlying trends in data.
Apply machine learning classification techniques to gain new insights from data.
Apply clustering techniques to discover data pattern and make decision.
Develop prototype algorithms with dimension reduction techniques.
Construct association rules to Identify patterns across multiple data sets to derive insights.

Course Brochure

Download WSQ - Data Mining and Machine Learning Fundamentals for Beginners Brochure

Skills Framework

This course follows the guideline of Data Analytics MED-ACE-3018-1 TSC under Media Skills Framework

Certification

Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.

Statement of Attainment (SOA) issued by WSG. You can download the SOA from here after 3-4 weeks upon completion of the course. Note that the SOA certificate title indicates the TSC title not the course title.
Certification of Achievement issued by Tertiary Infotech Pte Ltd issued after the class.

WSQ Funding

WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is subjected to funding caps.

Effective for courses starting from 1 Jan 2024
Full Fee	GST	Nett Fee after Funding (Incl. GST)
		Baseline	MCES / SME
$750.00	$67.50	$442.50	$292.50

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

Upon registration, we will advise further on how to tap on the WSQ Training Subsidy.

You can pay the nett fee (after the WSQ training subsidy) by the following :

SkillsFuture Enterprise Credit (SFEC)

Eligible Singapore-registered companies can tap on $10000 SFEC to cover out-of-pocket expenses.Click here to submit SkillsFuture Enterprise Credit

SkillsFuture Credit

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding. Click here for SkillsFuture Credit submission

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped at $250 per year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Please inform us if you intend to use your PSEA funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2020503264)

Scroll down to “Keyword Tags” to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.

Course Code: TGS-2020503264

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$750.00 (GST-exclusive)

$817.50 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time *

Sponsorship *

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Topic 1: Overview of Data Mining and Machine Learning

Data Mining Process
Overview of Machine Learning
Impact of Data Mining and ML to Access Business Insights

Topic 2: Data Preparation

Import/Export Data
Filter Data
Join Data
Clean Data

Topic 3: Regression

What is Regression
Linear Regression
Underfitting and Overfitting
Regularization Techniques

Topic 4: Classification

What is Classification
Classification Algorithms
K-Fold Cross Validation
Model Evaluation Metrics
Confusion Matrix

Topic 5: Clustering

What is Clustering
K-Means Clustering
Silhouette Analysis
Hierarchical Clustering

Topic 6: Dimension Reduction

Principal Component Analysis (PCA)
Feature Ranking

Topic 7: Association Analysis

Association Rules
Constructing Rules

Final Assessment

Practical Performance (Written Assessment)
Oral Questioning

Course Info

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.
Minimum 18 years old

Software Requirement

Software:

You can download and install the following software:

Orange

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity.

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

Singapore Citizens or Singapore Permanent Residents of age 21 and above
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from trainee if he/she did not meet the eligibility criteria.

Singapore Citizens or Singapore Permanent Residents who are DIRECT EMPLOYEE of the sponsoring company.
From 1 October 2023, attendance-taking for SkillsFuture Singapore's (SSG) funded courses must be done digitally via the Singpass App. This applies to both physical and synchronous e-learning courses.
Trainee must pass all prescribed tests / assessments and attain 100% competency.
We reserves the right to claw back the funded amount from the employer if trainee did not meet the eligibility criteria.

SkillsFuture Credit:

Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.

PSEA:

To check for Post-Secondary Education Account (PSEA) eligibility, goto mySkillsFuture portal and search for this course code.
Scroll down to "Keyword Tags" to verify for PSEA eligibility.
If there is “PSEA” under keyword tags, the course is eligible for PSEA.
And if there is no “PSEA” under keyword tags, the course is ineligible for PSEA.
Not all courses are eligible for PSEA funding.

Absentee Payroll (AP) Funding:

$4.50 per hour, capped at $100,000 per enterprise per calendar year.
AP funding will be computed based on the actual number of training hours attended by the trainee.

SFEC:

If the Training Provider has submitted an enrolment for course fee grant claim in Training Partners Gateway (TPGateway), SSG would be able to derive SFEC funding based on this record. There is no need for enterprise to submit any claim request and the SFEC claim will be automatically generated and disbursed.
Where there is no such record, eligible employers are required to submit an SFEC claim after course completion via the SFEC microsite.
SkillsFuture Enterprise Credit (SFEC) Microsite

Steps to Apply Skills Future Claim

The staff will send you an invoice with the fee breakdown.
Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

Note

SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Job Roles

Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Research Scientist
Quantitative Researcher
Bioinformatics Scientist
Data Mining Specialist
Customer Insights Analyst
Marketing Analytics Specialist
Predictive Analytics Specialist
Healthcare Data Analyst
Financial Modeler
E-commerce Data Specialist
User Behavior Analyst

Trainers

Dr Alvin Ang: Dr Alvin Ang is a ACTA certified trainer. Dr. Alvin Ang did his Ph.D., Masters and Bachelors from NTU, Singapore. Previously he was a Principal Consultant (Data Science) as well as an Assistant Professor. He was also 8 years SUSS adjunct lecturer. His focus and interest is in the area of real world data science. Though an operational researcher by study, his passion for practical applications outweigh his academic background. He owns a startup externally.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACTA certified trainer. Dwight Nuwan Fonseka have a degree in Biotechnology (from NUS), Advanced diploma in Pharmaceutical management (from MDIS) and Masters in Education (from NTU). He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

Man Guo Chang: Man Guo Chang graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, major in Computer Engineering.

He has more than 25 years of working experience in the Semiconductor field, specialized in IC Testing, Inline Electrical Testing, Product & Yield Engineering, Data Analysis, System Engineering, and Software Development. He is also an ACTA certified trainer, currently providing STEM training to adult learners in the area of Computer Vision, Internet of Things, Embedded Electronics, and Python Programming