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WSQ - R Fundamental and Statistical Analysis for Beginners

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 :

Install R and R Studio IDE.
Understand and use R data types.
Understand and use R packages and datasets.
Perform data visualisation in R.
Understand and code R programming language.
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.

Course Code: TGS-2019504058

Post-Course Support

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

Course Cancellation/Reschedule Policy

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

Course Details

Topic 1: 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

R
R Studio

Hardware: Windows and Mac Laptops

About Progressive Wage Model (PWM)

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

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

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Individual Sponsored Trainee

Employer Sponsored Trainee

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

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

SkillsFuture Credit:

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

PSEA:

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

Absentee Payroll (AP) Funding:

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

SFEC:

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

Steps to Apply Skills Future Claim

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

SkillsFuture Level-Up Program

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

Get Additional Course Fee Support Up to $500 under UTAP

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

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

Steps to Apply UTAP

Note

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

Job Roles

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

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

Khoo Yong: Khoo Yong is a ACTA certified trainer. Khoo Yong graduated from NTU with a bachelor degree in Mechanical and Production Engineering. Currently, working as a principal engineer in one of the top 3 Semiconductor Manufacturing Pure-Play Foundry in the world, he is a statistician support Operations and Engineering, driving the Statistical Process Control Program in the Fab. He specializes in Statistics , basic Excel and advance Excel, including excel macro coding. He regularly conduct Statistical Process Control Courses in the company. He is a certified Black Belt.

Customer Reviews (151)

The trainer Dr Alvin is a great trainer. 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 Dr Alvin is a great trainer. He is very knowledgeable, explains clearly, answers questions patiently and clearly, and is humourous. Please give him a bonus. :) (Posted on 9/10/2024)

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

I attended the R Fundamental and Statistical Analysis for Beginners lately and Dr Alvin Ang provided good introduction and adequate examples in sharing industry's practices. It was an engaging course. The concepts sharing, notably on the 5 steps to hypothesis testing recaps key terms and aids in subsequent code writing;) (Posted on 8/4/2024)