WSQ - Python Fundamental Course for Beginners

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Launch your programming journey with our WSQ-endorsed Python Fundamental Course for Beginners. This course is tailored to provide you with a solid foundation in Python, one of the most versatile and widely-used programming languages today. Covering topics such as Python syntax, data types, and basic algorithms, our course offers hands-on exercises to ensure you acquire practical programming skills that are applicable across various industries.

By the end of this course, you will have a strong grasp of Python fundamentals. You’ll be capable of writing basic Python programs, understanding code structure, and solving simple problems algorithmically. Ideal for those who are new to programming or wish to switch careers, this course equips you with the necessary skills to continue your education in Python or other programming languages.

Learning Outcomes

By the end of this WSQ Python course, learners will be able to :

LO1: Install Python and IDE.
LO2: Understand and code data types.
LO3: Understand and code operators.
LO4: Understand and code control structures, loop and comprehension.
LO5: Understand and code functions.
LO6: Install and use Python standard packages and third party package.

Course Brochure

Download WSQ - Python Fundamental Course for Beginners Brochure

Skills Framework

This course follows the guideline of Analytics and Computational Modelling ICT-DIT-3001-1.1 TSC under ICT Skills Framework

Certification

Certificate of Completion from Tertiary Infotech - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Infotech.

OpenCerts from SkillsFuture Singapore - After passing the assessment(s) and achieving at least 75% attendance, participants will receive a OpenCert (aka Statement of Achievement) from SkillsFuture Singapore, certifying that they have achieved the Competency Standard(s) in the above Skills Framework.

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 & 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 (SFC)

Eligible Singapore citizens can use their SFC to offset course fee payable after funding but the $4,000 Additional SFC (Mid-Career Support) cannot be used. Click here to submit SkillsFuture Credit

UTAP

Eligible NTUC members can apply for 50% of the unfunded fee from UTAP, capped up to $250/year and for members aged 40 and above, capped up to $500/year. Click here to submit UTAP

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

To check for Post-Secondary Education Account (PSEA) eligibility for this course, Visit SkillsFuture (course code: TGS-2019503161)

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

Once you are eligible for PSEA, please download and fill up the PSEA Withdrawal Form and email to us.

Course Code: TGS-2019503161

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.

Course Cancellation/Reschedule Policy

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commerce.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom

Course Details

Topic 1: Get Started on Python

Overview of Python
Install Python
Install Python IDE
Code Your First Python Script
Comment

Topic 2: Data Types

Number
String
List
Tuple
Dictionary
Set

Topic 3: Operators

Arithmetic Operators
Compound Operators
Comparison Operators
Membership Operators
Logical Operators

Topic 4: Control Structure, Loop and Comprehension

Conditional
Loop
Iterating Over Multiple Sequences
Comprehension

Topic 5: Function

Function Syntax
Return Values
Default Arguments
Variable Arguments
Lambda, Map, Filter

Topic 6: Modules & Packages

Import Modules and Packages
Python Standard Packages
Third Party Packages

Final Assessment

Written Assessment - Short Answer Questions (WA-SAQ)
Case Study (CS)
Oral Questioning (OQ)

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

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

Hardware: Window or 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.

Appeal Process

The candidate has the right to disagree with the assessment decision made by the assessor.
When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
The candidate must lodge the appeal within 7 days, giving reasons for appeal
The assessor can help the candidate with writing and lodging the appeal.
he assessment manager will collect information from the candidate & assessor and give a final decision.
A record of the appeal and any subsequent actions and findings will be made.
An Assessment Appeal Panel will be formed to review and give a decision.
The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
Please click the link below to fill up the Candidates Appeal Form.

Job Roles

Aspiring Software Developer
Data Analyst
Web Developer
Automation Engineer
Data Scientist
System Administrator
Bioinformatics Specialist
Research Scientist
Finance Professional
Machine Learning Enthusiast
GIS (Geographic Information System) Specialist
IT Consultant
Network Engineer
Database Administrator
Tech Entrepreneur.

Trainers

Dr Alvin Ang - Dr Alvin Ang is a highly experienced data science and AI educator with a Ph.D. in Operations Research and over 15 years of teaching and research experience. He has taught at leading institutions including Nanyang Technological University, Singapore University of Social Sciences, Curtin University, and SP Jain School of Global Management, where he earned recognition as Mathematics Professor of the Year. Currently serving as a Data Science and AI Trainer at Tertiary Infotech, Dr Ang has successfully delivered Python and analytics training to diverse learners, ranging from university students to working professionals. He is also the founder of the Open Source Data Science Community (DataFrens.sg), where he actively promotes knowledge sharing and practical applications of Python in real-world problem solving.

With professional certifications such as the Advanced Certificate in Learning and Performance (ACLP) and multiple IBM badges in Python, Data Science, and Machine Learning, Dr Ang combines technical expertise with proven pedagogy. He has trained learners in Python fundamentals, data analysis, and visualization, using hands-on exercises to ensure strong conceptual understanding and practical proficiency. Known for his engaging teaching style and learner-focused approach, Dr Ang leverages his academic publications, industry consultancy, and training experience to guide beginners in building a solid foundation in Python programming, preparing them to advance confidently into data analytics and AI domains.

Terence Ee - Terence Ee is an experienced IT leader and trainer with more than 25 years of expertise in technology management, government systems planning, and enterprise IT strategy. He holds a Master of Science in Technology Management from Staffordshire University and a Bachelor of Science in Computer and Information Sciences from the National University of Singapore. Over the course of his career, Terence has held senior leadership roles, including Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he successfully oversaw large-scale digital transformation and system integration projects.

Since 2017, Terence has served as an independent consultant and professional trainer, delivering technology and data-related courses to diverse learners. Drawing on his deep experience in IT governance, systems planning, and applied computing, he specializes in guiding beginners through Python fundamentals with a focus on practical problem-solving and clear conceptual grounding. His teaching emphasizes building coding confidence step by step, ensuring learners acquire not only the technical skills but also the analytical mindset required to apply Python effectively in business, government, and industry contexts.

Bernard Peh - Bernard Peh is a seasoned Data Scientist and Principal Trainer with over 25 years of expertise in data science, finance, and investments. Since 2018, he has designed and delivered WSQ courses across major Accredited Training Organizations (ATOs) in Singapore, mentoring more than 1,000 learners in Python programming, data analytics, and applied AI. His deep technical proficiency spans Python, SQL, C/C++, and advanced Excel, making him well-positioned to guide beginners through foundational Python concepts with clarity and practical relevance. Bernard has also served as a keynote speaker and author in data science and investments, underscoring his ability to simplify complex ideas for diverse audiences.

With extensive experience training professionals across industries—including blue-chip companies such as Singtel, NCS, and Capital Land—Bernard combines technical rigor with a learner-centric approach. He emphasizes hands-on practice, step-by-step coding exercises, and real-world examples to ensure strong learner retention. His teaching philosophy is rooted in equipping participants with essential problem-solving and analytical skills that serve as a foundation for advanced data analytics and AI applications. Consistently receiving high learner satisfaction ratings, Bernard is committed to empowering beginners with the confidence and skills to embark on their Python programming journey.

Solomon Soh - Solomon Soh is an experienced Data Scientist and AI Trainer with a strong record of teaching and mentoring in Python programming, data analytics, and machine learning. Currently a Data Science Trainer with IBM Singapore, he has coached teams on projects involving natural language processing, computer vision, and chatbots, achieving a 96% learner satisfaction rating for his communication and technical expertise. His career spans roles at Workforce Optimizer, Certis Cisco, Ernst & Young, and IQVIA, where he applied Python-driven analytics to improve operations, optimize staffing, and deliver actionable insights. His academic background includes a double degree in Economics and Psychology from Singapore Management University (Summa Cum Laude, triple major in Analytics), an MBA, and a Master’s in Financial Engineering.

Solomon’s teaching approach blends technical depth with practical application, making Python fundamentals accessible to beginners while building a foundation for advanced data science skills. As a lead instructor for bootcamps and academies such as Le Wagon, Think Cloud Academy, and AWS Educate, he has guided learners through programming basics, data analysis, and real-world problem-solving. He brings hands-on experience from Kaggle competitions and industry projects, ensuring learners are exposed to relevant case studies and coding exercises. Passionate about empowering learners of all backgrounds, Solomon emphasizes clarity, applied practice, and confidence-building, making him highly effective in equipping beginners to succeed in the WSQ Python Fundamental Course for Beginners.

Shahul H. Maricar - Shahul H. Maricar is a certified ACLP and MOE instructor with over a decade of experience in software systems integration, coding, and adult training. With strong technical expertise spanning Python, JavaScript, HTML/CSS, and embedded systems, he has conducted WSQ and corporate training programs in areas such as Python programming, product design, and web development. Shahul’s career includes roles at the National University of Singapore, where he supported research through systems integration and data analysis, and later as a curriculum lead and trainer for organizations such as Tertiary Infotech, Marshall Cavendish Education, and Sustainable Living Lab. His background demonstrates both technical depth and a proven ability to deliver engaging, hands-on learning experiences.

Passionate about simplifying technical concepts for learners, Shahul emphasizes practical application and solution-based teaching. He has designed and delivered curricula that blend coding with real-world problem solving, from introductory Python and JavaScript to robotics and data visualization. His training approach ensures learners gain confidence in programming fundamentals while developing a mindset for continuous learning and adaptability. With a track record of empowering students across corporate, academic, and public learning environments, Shahul is committed to equipping beginners with the skills they need to succeed in the WSQ Python Fundamental Course for Beginners.

Customer Reviews (536)

Average Rating: 5.0/5 Review by Course Participant/Trainee

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Average Rating: 5.0/5 Review by Course Participant/Trainee

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Nil (Posted on 3/12/2026)

Average Rating: 4.0/5 Review by Course Participant/Trainee

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Average Rating: 4.3/5 Review by Course Participant/Trainee

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Average Rating: 4.3/5 Review by Course Participant/Trainee

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Average Rating: 5.0/5 Review by Course Participant/Trainee

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Satisfied with the class. (Posted on 3/12/2026)

Average Rating: 4.3/5 Review by Course Participant/Trainee

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Useful but too short (Posted on 3/12/2026)

Average Rating: 4.7/5 Review by Course Participant/Trainee

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Average Rating: 5.0/5 Review by Course Participant/Trainee

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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

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Average Rating: 5.0/5 Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

N/A (Posted on 3/12/2026)