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Learn statistics and data analytics using r programming language and r statistics

WSQ - R Fundamental and Statistical Analysis for Beginners

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Embark on your data science journey with our WSQ-endorsed R Fundamental and Statistical Analysis for Beginners course. This course demystifies the core principles of R programming and statistical analysis, equipping you with the tools to analyze data effectively. Through engaging tutorials and exercises, you will learn data manipulation, visualization, and how to generate insightful reports.

Upon completion, you'll have the foundational skills needed for more advanced data science endeavors. You'll be able to perform data manipulation, construct compelling visualizations, and conduct various statistical tests to make informed decisions. This makes the course an invaluable starting point for those interested in diving deeper into data analytics and data science.

Learning Outcomes

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

  • LO1: Install R and R Studio IDE.
  • LO2: Understand and use R data types.
  • LO3: Understand and use R packages and datasets.
  • LO4: Perform data visualisation in R.
  • LO5: Understand and code R programming language.
  • LO6: Understand and use statistical methods in R.

Course Brochure

Download WSQ - R Fundamental and Statistical Analysis 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 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-2019504058)
  • 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-2019504058

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 to 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: Getting Started in R

  • What is R
  • Install R and RStudio IDE
  • Explore RStudio Interface

Topic 2: Data Types

  • Numbers
  • String
  • Vector
  • Matrix
  • Array
  • Data Frame
  • List
  • Factor

Topic 3: R Packages & Data I/O

  • Import R Packages
  • Import R Data Sets
  • Import External Data
  • Export Data

Topic 4: Data Visualization

  • Scatter Plot
  • Boxplot
  • Bar chart
  • Pie chart
  • Histogram

Topic 5: R Programming

  • Conditional
  • Loop
  • Break & Next
  • Function Syntax
  • Default Arguments

Topic 6: Statistics Analysis with R

  • Descriptive Statistics
  • Correlation
  • Linear and Multiple Regression
  • Hypothesis Testing
  • Analysis of Variance (ANOVA)

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

Software Requirement

Please download and install the following software prior to the class

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

  • Data Analyst
  • Statistician
  • R Programmer
  • Data Scientist (beginner level)
  • Market Research Analyst
  • Bioinformatics Researcher (using R)
  • Social Scientist (quantitative research)
  • Academic Researcher (needing statistical software)
  • Econometrician
  • Clinical Research Analyst
  • Financial Analyst (with a focus on statistical methods)
  • Environmental Scientist (data analysis with R)
  • Epidemiologist
  • Policy Analyst (with data interpretation)
  • Business Intelligence Specialist (using R for analysis).

Trainers

Dwight Nuwan Fonseka - Dwight Nuwan Fonseka is an experienced data scientist and ACLP-certified trainer with a strong background in applying R programming to real-world data analytics and statistical modeling. As Head of Data Science at Plano Pte. Ltd., he has led projects involving healthcare analytics, predictive modeling, and the development of interactive R Shiny applications. His expertise spans statistical methods such as t-tests, ANOVA, regression, time series analysis, and machine learning, allowing him to guide learners through both foundational and advanced applications of R in business and research contexts.

Alongside his industry role, Dwight is an active educator, serving as an adjunct lecturer at the London School of Business and Finance and an associate trainer with Tertiary Courses. He has coordinated diploma programs in data analytics and delivered training in R programming, data visualization, and statistical analysis to diverse learners. With a practical, hands-on approach, Dwight equips beginners with the essential R skills to perform robust statistical analysis, interpret data effectively, and build a strong foundation for advanced analytics and data science

Dr Alvin Ang - Dr Alvin Ang is an experienced data science and AI trainer with a Ph.D. in Operations Research from Nanyang Technological University, Singapore. With over a decade of teaching experience across universities such as SUSS, NTU, and SP Jain, as well as industry roles in analytics and consultancy, he brings both academic depth and practical insights to his training. He has designed and delivered courses in R programming, statistics, data science, and machine learning, ensuring learners build a strong foundation in statistical analysis while gaining confidence in applying R to solve real-world problems.

An ACLP-certified trainer, Dr Ang has also earned multiple certifications in R for Data Science, Data Visualization with R, and advanced analytics from IBM. His expertise includes statistical methods, regression modeling, and data visualization, making him highly effective in guiding beginners through the fundamentals of R. With his engaging teaching style and industry-relevant examples, he equips learners with the skills to analyze data, interpret results, and apply statistical techniques to business and research contexts.

Khoo Yong - Khoo Yong is an ACTA-certified trainer with a strong foundation in adult education and applied analytics. With years of experience in training and mentoring learners, he specializes in simplifying complex concepts in data analysis and statistical methods for beginners. His expertise includes guiding participants in applying R programming to perform descriptive statistics, hypothesis testing, and data visualization, equipping them with practical skills to analyze data effectively and interpret results with confidence.

As a certified adult educator, Khoo Yong ensures his training is engaging, structured, and accessible to learners from diverse backgrounds. He emphasizes hands-on practice with R, enabling participants to bridge theory with application in real-world contexts. His learner-centered approach not only builds technical competency but also fosters analytical thinking, preparing participants to use statistical tools in business, research, and decision-making.

Customer Reviews (305)

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
To have more real life working examples (Posted on 2/14/2022)
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 2/14/2022)
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 2/11/2022)
Dr.Alvin Ang is very friendly, knowledgeable, 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 very friendly, knowledgeable, patient and interactive!! It has been very beneficial for me in terms of understanding and applying R in what I am doing currently. Overall, a very pleasant and positive learning experience. (Posted on 1/9/2022)
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 12/22/2021)
Good hands-on exercise. 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 detailed notes provided with illustrated examples and solutions (Posted on 12/22/2021)
will recommmend 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 12/22/2021)
All good 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
Wonderful course for beginners. Steve has great expertise (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
The course is adequate as is
Mr. Dwight Fonseka was very patient and understanding of learning challenges. (Posted on 1/20/2021)
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
The venue in a old commercial building, the toilet is very basic and not clean regularly. (Posted on 1/20/2021)
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
Maybe can add post hoc test to ANOVA (eg: Tukey, Bonferroni) and two-way Anova. Like complete the anova series.

Great course that slowly introduces the syntax for R. Beneficial for those who are beginners in learning about R. (Posted on 12/16/2020)
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
As of now its good (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 8/2/2020)
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 7/14/2020)
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
Presenter is very good with this domain. Just that I feel the course could be stretched out longer as it is a very steep learning curve. (Posted on 6/16/2020)
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
Will be great if the chairs are of adjustable height. (Posted on 2/18/2020)
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 2/18/2020)
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 2/18/2020)
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 2/18/2020)
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
enjoyed the lesson, tutor was good and answered all my questions (Posted on 2/9/2020)

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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

whatsapp

https://wa.me/6588666375

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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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