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WSQ - Data Analytics and Visualization with R

WSQ - Data Analytics and Visualization with R

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

Prepare and transform data for analysis
Summarise data with descriptive statistics
Perform quantitative data analysis
Perform quantitative data analysis
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

Two e-certificates will be awarded to trainees who have demonstrated competency in the WSQ assessment and achieved at least 75% attendance.

Statement of Attainment (SOA) issued by WSG. You can download the SOA from here after 3-4 weeks upon completion of the course. Note that the SOA certificate title indicates the TSC title not the course title.
Certification of Achievement issued by Tertiary Infotech Pte Ltd issued after the class.

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
$688	$61.92	$405.92	$268.32

Baseline: Singaporean/PR age 21 and above
MCES(Mid-Career Enhanced Subsidy): S'porean age 40 & above

WSQ TG Application Form

Eligible individuals and company can apply for WSQ TG. Please login to Skilleto and fill in the required details for grant application. Please click here to submit for WSQ TG

Please do not pay upfront. We will advise you on the eligibility and nett fee after registration. Company sponsored staff are eligible for Absentee Payroll.

After the WSQ subsidy, you can offset the nett fee 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

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

UTAP

Eligible NTUC members can apply for 50% cash rebate of the unfunded fee from UTAP, capped at $250 per 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.

Course Code: TGS-2020504413

Course Booking

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

$688.00 (GST-exclusive)

$749.92 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time * Course Time

9:30am - 6:30pm

Sponsorship *

Self-Sponsored
Employer-Sponsored

No. of Participants

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

* Required Fields

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 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 (Q&A)
Practical Performance

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

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

Researchers
Data Analysts
Business Intelligence Analysts

Trainers

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.

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He 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.

Customer Reviews (24)

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 course is of preference to me.

It was an insightful course where we learn "Tidyverse" data visualization with R programming software. Thanks Dr. Alvin for the course. (Posted on 1/24/2024)

Good course. Deserve to select 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

Good course. Deserve to select (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

. (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 5/7/2023)

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 4/25/2022)

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)