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WSQ Data Analysis and Visualization with R

WSQ - Data Analytics and Visualization with R

42 Review(s) | Add Your Review

Master the art of transforming raw data into actionable insights with our WSQ-endorsed course in Data Analytics and Visualization with R. This comprehensive course covers everything from basic data manipulation in R to advanced visualization techniques. You'll learn how to prepare datasets, create compelling visuals, and make data-driven decisions. The curriculum also includes real-world projects to ensure you get the hands-on experience you need.

Upon course completion, you will be fully equipped to tackle any data analysis or visualization challenge that comes your way. Whether you're looking to expand your career options, improve business decision-making, or delve deeper into data science, this course provides the fundamental skills to set you on the path to success. Boost your data analytics game today with our specialized training.

Learning Outcomes

By end of the course, learners should be able to

  • LO1: Prepare and transform data for analysis.
  • LO2: Summarise data with descriptive statistics.
  • LO3: Perform quantitative data analysis.
  • LO4: Perform quantitative data analysis.
  • LO5: Perform data visualizations to interpret data.

Course Brochure

Download WSQ - Data Analytics and Visualization with R Brochure

Skills Framework

This course follows the guideline of Analysis of Research Data HCE-DAT-4008-1.1 TSC under Healthcare 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-2020504413)
  • 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-2020504413

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

Course Time

* Required Fields

Course Information

  • Session (days): 2
  • Duration (hrs): 16
  • Level: Intermediate
  • 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 and Transformation

  • Overview of Data Analysis of Research Data
  • Install R Data Analysis Packages - Tidyverse and ggplot2
  • Import and Export Dataset
  • Filter and Slice Data
  • Clean Data
  • Join Data
  • Transform Data
  • Aggregate Data
  • Pipe Data

Topic 2: Data Summary

  • Categorical vs Continuous Data
  • Quantitative vs Qualitative Data
  • Descriptive Statistics of Data
  • Summarize Data
  • Basic Plots and Tables

Topic 3: Quantitative Data Analysis

  • Quantitative Data Analysis Overview
  • Correlation Analysis
  • Regression Analysis
  • Hypothesis Testing
  • Analysis of Variances (ANOVA)

Topic 4: Qualitative Data Analysis

  • Qualitative Data Analysis Overview
  • Install R Packages for Qualitative Data Analysis
  • Word Cloud Analysis
  • Text Analysis

Topic 5: Data Visualization

  • Grammar of Graphics
  • Plots for Quantitative Data
  • Plots for Qualitative Data
  • Customize Visualizations
  • Interpret Findings

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)

Attitude

  • Positive Learning Attitude
  • Enthusiastic Learner

Experience

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

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

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

  • 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

  • Researchers
  • Data Analysts
  • Business Intelligence Analysts

Trainers

Dr Alvin Ang – Dr Alvin Ang is an ACLP-certified trainer with a Ph.D. in Operations Research from Nanyang Technological University. With more than a decade of academic and industry experience, he has taught data science, statistics, and machine learning at NTU, SUSS, Curtin University, and as an IBM Data Science Instructor. He is also the founder of DataFrens.sg, an open-source community promoting data science knowledge in Singapore. His professional background includes roles as a research fellow at NUS and consultant in data-driven business solutions, supported by multiple IBM certifications in R, Python, and data visualization.

In his R-based data analytics and visualization training, Dr Ang emphasizes practical, hands-on learning. He guides learners through data cleaning, statistical analysis, and visualization using R libraries such as ggplot2 and Shiny, ensuring participants can transform raw data into actionable insights. By blending theory with real-world case studies, he equips learners with both the technical skills and the confidence to communicate analytical findings effectively.

Dwight Nuwan Fonseka – Dwight Nuwan Fonseka is an ACLP-certified trainer and Head of Data Science at Plano Pte. Ltd., where he leads projects in predictive analytics, R-based modeling, and big data systems. He also serves as an adjunct lecturer at the London School of Business and Finance (LSBF), coordinating the Diploma in Data Analytics, and as an associate trainer with Tertiary Courses. His expertise spans R programming, R Shiny app development, and machine learning frameworks such as h2oAI and Keras, applied to healthcare, financial, and text mining projects.

In his training, Dwight focuses on beginner-to-advanced applications of R for analytics and visualization. His sessions cover descriptive and inferential statistics, time series forecasting, and advanced visualization using ggplot2 and Shiny dashboards. With his project-driven approach, Dwight ensures learners not only understand R concepts but also apply them effectively to real-world datasets for decision-making and reporting.

Khoo Yong – Khoo Yong is an ACTA-certified trainer with extensive experience in statistics, data analytics, and professional training. With a strong background in adult education, he specializes in breaking down complex concepts into simple, practical lessons suited for beginners. His teaching experience spans a wide range of WSQ programs, where he has equipped learners with the skills to apply data analysis in business and technical contexts.

In his training on R for data analytics and visualization, Khoo introduces participants to core concepts such as data preparation, descriptive statistics, and exploratory analysis. He emphasizes hands-on practice with R libraries to create visualizations and interpret patterns in datasets. By combining technical know-how with a learner-centered approach, Khoo ensures participants gain the confidence to apply R tools effectively in their workplace and professional projects.

Customer Reviews (42)

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 1/23/2024)
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
It was an insightful course where we learn "Tidyverse" data visualization with R programming software. Thanks Dr. Alvin for the course. (Posted on 1/23/2024)
I completed the course on R analytics, and I was very impressed with the content and the instructor, Dr Alvin Ang. 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
I completed the course on R analytics, and I was very impressed with the content and the instructor, Dr Alvin Ang. The course covered a wide range of topics, from the basics of R programming to advanced techniques for data analysis. Dr Alvin Ang was very knowledgeable and engaging, and he did a great job of helping us understand the material. I also appreciated the hands-on exercises, which gave us the opportunity to practice what we were learning. It is a well-designed and informative course that will give you the skills you need to analyze data and solve problems with R. (Posted on 7/30/2023)
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
Dr. Alvin exudes passion in the field which really shows when he goes in depth on the courses he teaches. It is inspiring to be able to learn from his expertise. He relays his knowledge in such a comprehensible manner and also makes learning fun as he shows/explain practical examples which also increases students' attentiveness and share his love for the field. His ability to relate to each individual student was commendable, as he understood each students' unique needs and provided personalized guidance on how to apply the skills learnt from the course to optimize both in work and personal life. The courses which he led left me a lasting impression that I learnt not just the skills which the course entails, but also a sense understanding beyond that.

Overall, Dr. Alvin's expertise, combined with his ability to connect with students and guide them effectively, made the course truly worthwhile.

If you're reading this, I appreciate you for going above and beyond, and I feel that is what separates you from being a teacher and a mentor. A teacher follows a strict curriculum and ticks the boxes as per requirement, while a mentor is not limited to that, being more fluid and additionally guide students towards achieving their goals. Thank you for teaching and it has been an experience learning from you.

PS. This is not generated by a LLM just to let you know. :) (Posted on 5/22/2023)
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
Dr Alvin Ang was my trainer for Data Analysis and Visualization with R course at Tertiary Infotech. He is a very knowledgeable and passionate individual in the area of data science. Dr Alvin can convey complex concepts in statistics in more straightforward terms in an engaging and fun way, which immensely helped me understand. He is also a great teacher who can answer all my queries and even go the extra mile to explain other things I need help understanding. Furthermore, he also shared resources and insights beyond the course syllabus, which was very insightful for me. From attending the two-day course, it was obvious that Dr Alvin is also well-versed in other data science tools beyond R. I recommend that anyone interested in learning about R or any other data science tool attend his courses. You will surely benefit a lot from his courses as I had. (Posted on 5/22/2023)
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
. (Posted on 5/6/2023)
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 5/3/2023)
Dr. Alvin Ang is really knowledgeable and helpful when it comes to teaching RStudio. 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
Dr. Alvin Ang is really knowledgeable and helpful when it comes to teaching RStudio.

Earlier (2-3 May), I have had the pleasure of being taught by Dr. Ang for a course on Data Analytics and Visualization with R, and I can optimistically say that he is an outstanding data teacher with a deep understanding of RStudio. Dr. Ang was able to breakdown complex ideas in simple and easy-to-understand manner, which makes learning accessible for me. He has a great vibe and a passion to help out his students and was willing to go the extra mile to ensure that I understood the material. His teaching style is engaging and interactive, which makes learning both enjoyable and effective.

Overall, I highly recommend Dr. Alvin Ang as a data teacher given his passion for teaching, expertise in the subject matter, and exceptional teaching skills. All of which makes him an asset to any learning or collaborative environment.. (Posted on 5/3/2023)
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
No improvement needed - please get speaker phone for Zoom meetings from Woodlands Center

If you have the black swan event type of luck to have small class sizes with Dr. Alvin, he is absolutely amazing! Managed to converse on a number of topics related to data science and quant modeling. He's a treasure trove of intelligence and insights. (Posted on 12/6/2022)
Dr. Alvin Ang is an excellent trainer at Tertiary Infotech. 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
Dr. Alvin Ang is an excellent trainer at Tertiary Infotech. He has strong passion in teaching with in-depth knowledges in data science, statistics and related technologies. Throughout the training, Dr. Alvin shares his experiences, research works, papers, books and projects that he has involved/achieved. Dr. Alvin also shares many resources/links for further study or reference. I have a wonderful learning experience with Dr. Alvin during the two days training.
(Posted on 6/8/2022)
The course materials are useful and can relate to real life scenarios. 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
Dr Alvin is a great and resourceful instructor who shared his wide ranges of knowledge from analytics, statistic to R language skills. He has also put in much effort to ensure his students do understand the knowledge and acquire necessary skills. Much appreciated for his patience, mentorship and sharing. (Posted on 4/24/2022)
Dr Alvin was a great instructor and helped u 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
Dr Alvin was a great instructor and helped us with a great deal of additional material and resources from his own portfolio. He was really open to share his own research to benefit his students in their future projects. (Posted on 4/24/2022)
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 applicable. (Posted on 4/24/2022)
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 3/28/2022)
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
The mini exercises helped, can have more of that

Since it is expected that many people who have signed up for the course may be new to R, perhaps there could be a half-day crash course added to the course duration so that we could cover more or the actual course content at a more comfortable pace. (Posted on 12/8/2021)
The trainer is experienced, good and patient. 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 course will be much more effective.
The trainer is experienced, good and patient. (Posted on 12/6/2021)
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 7/11/2021)
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
Personally I find to start at 9.30 am is a bit too late. But I suppose during pandemic, it is good to avoid the busy hour for commuting.
Have more trainers like Marcel. He is a great tutor, very knowledgeable! (Posted on 6/18/2021)
The instructor is vey very good and I am so glad to have him to teach me about this course. 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
I am very thankful to Instructor Dwight for his patience in teaching a layman with no knowledge in R. He is very good and can break down the concepts into bite pieces in order for me to understand (Posted on 4/23/2021)
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 1/4/2021)

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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

whatsapp

https://wa.me/6588666375

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Tertiary Courses SG AI Chatbot

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Tertiary Courses SG GPT

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enquiry@tertiaryinfotech.com

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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