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WSQ Data Analytics and Visualization with Python

WSQ - Data Analytics and Visualization with Python

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Expand your knowledge in data analytics and visualization with our WSQ-endorsed course focused on Python. Dive into key topics like data manipulation, statistical analysis, and visualization techniques using Python's powerful libraries. Through practical exercises and real-world examples, you'll learn to transform raw data into actionable insights and visual narratives that are compelling and easy to understand.

By the end of this course, you'll be adept at leveraging Python for advanced data analytics and visualization tasks. Whether you're a data scientist, business analyst, or someone interested in generating insights from data, this course will provide you with the tools and skills to make impactful, data-driven decisions.

Course Objective

Learners will be able to prepare data, perform data analysis and data visualization to gain insights into data. 

Course Learning Outcomes

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

  • LO1: Prepare data for analysis
  • LO2: Transform data for analysis
  • LO3: Gain insights from data visualization
  • LO4: Perform statistical data analysis and time series analysis
  • LO5: Perform advanced data analysis to interpret results

Course Brochure

Download WSQ - Data Analytics and Visualization with Python Brochure

Skills Framework

This course follows the guideline of Research Data Analysis SSC-DAT-4013-1.1 TSC under Social Service 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 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 (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 for SkillsFuture Credit submission

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. 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-2020504082)
  • 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-2020504082

Fee

$750.00 (GST-exclusive)
$817.50 (GST-inclusive)

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

Course Date

* Required Fields

Course Information

  • Session (days): 2
  • Duration (hrs): 16
  • Level: Beginner
  • Additional Note: Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.
  • Venue:

    All courses except hydroponics courses:

    12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

    The venue is disabled-friendly.


    Hydroponics courses:

    MEOD Farm 13 Neo Tiew Harvest Ln, Singapore 719838

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: Data Preparation

  • Data Analytics with Pandas
  • Pandas DataFrame and Series
  • Import and Export Data
  • Filter and Slice Data
  • Clean Data

Topic 2: Data Transformation

  • Join Data
  • Transform Data
  • Aggregate Data

Topic 3: Data Visualization

  • Data Visualization with Matplotlib and Seaborn
  • Visualize Statistical Relationships with Scatter Plot
  • Visualize Categorical Data with Bar Plot
  • Visualize Correlation with Pair Plot and Heatmap
  • Visualize Linear Relationships with Regression

Topic 4: Data Analysis

  • Statistical Data Analysis
  • Time Series Analysis

Topic 5: Advanced Data Analytics

  • Data Piping
  • Groupby and Apply Custom Functions
  • Linear Regression

Final Assessment

  • Written Assessment - Short Answer Questions (WA-SAQ)
  • Practical Performance (PP)

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)
  • Basic Python prog language knowledge

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

Sign up free Google Colab account

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

  • Log in to your U Portal account to submit your UTAP application upon completion of the course.

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

  1. The candidate has the right to disagree with the assessment decision made by the assessor.
  2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
  3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
  4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
  5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
  6. 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.
  7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
  8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
  9. The assessor can help the candidate with writing and lodging the appeal.
  10. he assessment manager will collect information from the candidate & assessor and give a final decision.
  11. A record of the appeal and any subsequent actions and findings will be made.
  12. An Assessment Appeal Panel will be formed to review and give a decision.
  13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
  14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
  15. Please click the link below to fill up the Candidates Appeal Form.

Job Roles

  • Data Scientist
  • Data Analyst
  • Business Intelligence Developer
  • Research Scientist
  • Machine Learning Engineer
  • Financial Analyst
  • Data Visualization Specialist
  • Marketing Analytics Specialist
  • Quantitative Researcher
  • Data Engineer
  • Bioinformatics Analyst
  • Operations Research Analyst
  • Economic Analyst
  • Predictive Modeler
  • Sports Analytics Specialist

Trainers

Dr Alvin Ang – Dr Alvin Ang is an ACLP-certified trainer with a Ph.D. in Operations Research from Nanyang Technological University and over a decade of academic and industry experience. He has taught at NTU, SUSS, Curtin University, and as an IBM Data Science Instructor, specializing in Python, data analytics, machine learning, and data visualization. As the founder of DataFrens.sg, an open-source data science community, he actively contributes to promoting applied data science and analytics in Singapore.

In his training, Dr Ang focuses on equipping learners with practical skills in Python for data analysis and visualization, using libraries such as Pandas, Matplotlib, and Seaborn. His courses integrate real-world case studies, enabling participants to apply analytical methods to business and research problems. With his structured, learner-centered approach, he ensures learners gain confidence in turning data into actionable insights.

Terence Ee – Terence Ee is an independent consultant and trainer with more than 25 years of experience in IT management, systems integration, and digital transformation. He has held senior positions including Chief Information Officer at the Supreme Court of Singapore and Vice President of Information Systems at Senoko Energy, where he led enterprise IT and data-driven innovation projects. Holding a B.Sc. in Computer and Information Sciences from NUS and an M.Sc. in Technology Management from Staffordshire University, Terence blends strategic and technical expertise in his training.

Since 2017, Terence has focused on professional training in Python, data analytics, and visualization. His courses emphasize hands-on learning, guiding participants to use Python tools for data manipulation, statistical analysis, and visualization. By combining real-world business cases with technical exercises, Terence ensures learners develop both the analytical and presentation skills necessary to communicate insights effectively.

Bernard Peh – Bernard Peh is an ACLP-certified principal trainer with over 25 years of experience in data science, finance, and investments. As Senior Partner at BigDataVC, he leverages advanced analytics for financial markets while mentoring professionals and business leaders. He has delivered training across more than eight Accredited Training Organizations in Singapore, reaching over 1,000 learners, and is recognized as a keynote speaker and author in data science and investment analytics.

In his Python and data visualization training, Bernard emphasizes practical applications of data analytics for business and finance. Learners are guided through data preparation, visualization techniques, and dashboard creation using Python libraries, ensuring they can communicate insights clearly and persuasively. His hands-on approach and industry expertise empower participants to apply Python-driven analytics confidently in real-world decision-making.

Solomon Soh – Solomon Soh is a data scientist and AI trainer with extensive experience in Python, data analytics, and visualization. At IBM Singapore, he supervised 24 machine learning and deep learning projects, coaching teams in feature engineering, data cleansing, and ensemble modeling. His professional background includes roles at Workforce Optimizer and Certis Cisco, where he applied predictive analytics and optimization to real-world challenges, delivering measurable business impact.

As a trainer, Solomon has served as lead instructor for data science bootcamps and corporate programs, covering Python, Tableau, and advanced visualization tools. He emphasizes storytelling with data, teaching learners how to transform complex datasets into actionable visual insights. His project-based approach ensures participants not only master technical skills but also develop the ability to present findings effectively to stakeholders.

Shahul Hameed Maricar – Shahul Hameed Maricar is an ACLP-certified trainer with over 10 years of experience in software and hardware integration, coding, and data science. With a multidisciplinary background spanning web technologies, embedded systems, and multimedia design, he has conducted numerous WSQ and corporate training programs in Python, web design, and data visualization. His experience also includes supporting IT and multimedia projects at NUS, where he optimized systems integration for research and education.

In his Python data analytics and visualization courses, Shahul emphasizes accessible, hands-on learning tailored for beginners. He guides participants through using Python libraries for data cleaning, analysis, and visualization, ensuring they gain confidence in applying these tools to business and technical problems. His learner-focused approach makes complex topics approachable, enabling professionals to harness Python for data-driven decision-making.

Customer Reviews (96)

will recommend 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
. (Posted on 9/20/2021)
will recommend 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
Not sure this is feasible, give a gap of 1-2 days or even a week for the student to disgust and practice the materials that taught, before proceed the second part of the training.

The trainer and administrative staff are effective and helpful. (Posted on 9/13/2021)
will recommend 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
. (Posted on 9/10/2021)
will recommend 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
. (Posted on 9/2/2021)
will recommend 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
Course length is just right. Material is good and trainer is patient and helpful in answering queries, providing additional information and guidance (Posted on 7/11/2021)
NA. Thank you Terence for the wonderful coaching. As a first time python student, i have learnt alot! 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
Great energy from course instruction: Terence. Pity that the class was held during covid so class size was a bit smaller. If there is opportunity for bigger class and longer duration to code and apply to some real world use cases eg. analysis and visualization stock market data. (Posted on 5/9/2021)
will recommend 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
Physical classroom is better based on my experience
good course and useful for work (Posted on 4/26/2021)
will recommend 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
Great course and trainer (Posted on 4/24/2021)
might recommend 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
The trainer (Terence) is knowledgeable in teaching this course. (Posted on 2/7/2021)
will recommend 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
Everything is good, but maybe can include a summarized table for the different python commands and its uses in the course notes.

The trainer, Terrence, was very patient in making sure that I understood what was going on. Truly appreciate that (Posted on 12/19/2020)
will recommend 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
Trainer Terence is very patient and very approachable, even though we do not have basic knowledge in python, he is willing to go to the extra miles and answer our questions about basic python and gave a lot of practical applications suggestions in the real world which i find it particularly useful. I felt that his class has really value added as he introduced a lot of additional resources for us to read more about Python. He even stayed back without having dinner to go through with us individually which i find very helpful in helping me to learn from mistake. (Posted on 12/10/2020)
will recommend 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
. (Posted on 12/7/2020)
might recommend 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
More application and hands on , less theory (Posted on 11/10/2020)
very well organised and easy to follow 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
very well organised and easy to follow

ence is very helpful and knowledgeable in Python. He makes the course easy to follow and understand. (Posted on 10/21/2020)
will recommend 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
Terence has been very patient and dedicated instructor. Good tutor and willing to go the extra mile to help you to understand the module better. Will recommend to people who wants to learn about the Python with data visualization !! (Posted on 10/5/2020)
will recommend 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
Terence has been very patient and dedicated instructor. Good tutor and willing to go the extra mile to help you to understand the module better. Will recommend to people who wants to learn about the Python with data visualization !! (Posted on 10/4/2020)

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About Us

Tertiary Infotech Academy, established in 2012, is a leading skills-based training provider dedicated to supporting Singapore’s Industry 4.0 transformation. We are a registered Private Education Institute (PEI), offering Diploma and Advanced Certificate programs in Cyber Security and Artificial Intelligence.

As a strong advocate for professional and lifelong learning, we are a WSQ and IBF Approved Training Organisation (ATO). We also serve as an Authorized Training Partner for major global technology and certification bodies, including Microsoft, CompTIA, AWS, Pearson VUE, Autodesk, Linux Foundation.

In addition, our academy is both a Pearson VUE, Kryterion, PSI Authorized Test Centers enabling learners to access industry-recognized examinations in a convenient and professional environment.

Training Grants and Subsidies

WSQ: Company and Singaporeans/PR can apply WSQ 70-90% funding depending on eligibility
SkillsFuture Enterprise Credit (SFEC) - Eligible Singapore-registered companies can tap on $10000 SFEC to cover up to 90% of out-of-pocket expense
SkillsFuture Credit: All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses.
IBF-STS Companies and Singaporeans/PR can apply IBF-STS 70-90% funding depending on eligibility
UTAP: NTUC members enjoy 50% subsidy for unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP
PSEA: Individual can pay using using their Post Secondary Education Account

Authorised Training Partners
1

Microsoft Learning Partner

2

CompTIA Authorised Delivery Partner

3

Linux Foundations Authorised Training Partner

4

AWS Authorised Training Partner (Reseller)

5

Autodesk Authorised Training Center

6

Pearson Vue Authorised Training Partner

Authorized Testing Centers
1

Pearson VUE Authorised Test Center

2

Kryterion Authorized Testing Center

3

PSI Authorized Testing Center

Approved Training Organizations
1

WSQ Approved Training Organization

2

Institute of Banking & Finance (IBF) Approved Training Provider

3

Singapore Chartered Accountant (SAC) Accredited Training Organisation

4

Approved Private Educational Insitutes (PEI)

Approved Suppliers
1

GeBiz Registered Supplier

Regional Training Centers
1

Singapore (Headquarter)

2

Malaysia Kuala Lumpur and Penang

3

Bhutan

4

India

5

Ghana Accra

6

Nigeria Lagos

Contact Us Information

+65 6100 0613

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https://wa.me/6588666375

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Training Centers venue :
12 Woodlands Square, #07-85/86/87, Woods Square Tower 1, Singapore 737715 (Disabled-Friendly) .

Mailing address:
12 Woodlands Square, #07-86, Woods Square Tower 1, Singapore 737715

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