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CASL - Data Analytics with Excel

Sessions 2 days
Duration 16 hrs
Level Beginner
Assessment 2 hrs

Venue

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.

TSC Title: Data Analytics
TSC Code: ACC-ICT-3003-1.1

Funding for this course is valid from 9 Aug 2026 to 8 Aug 2027. Register and complete the course within this period to qualify for funding support.

By the end of the course, learners will be able to

LO1: Extract and validate data using Excel and Power Query
LO2: Apply basic data analytical techniques using Excel
LO3: Generate reports to identify trend and risk using Excel
LO4: Apply advanced data analytical tools available in Excel
LO5: Perform hypothesis testing using Excel

Download Course Brochure

Certificate of Achievement from Tertiary Infotech Academy Pte Ltd - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Achievement from Tertiary Infotech Academy Pte Ltd.

CASL - Data Analytics with Excel

Course Code: TGS-2026064861

CASL
SFC
PSEA
UTAP
SFEC
Absentee Payroll
MCES

245 Review(s) | Add Your Review

Unleash the power of Excel in data analytics with our comprehensive, SkillsFuture-funded course. From basic data manipulation and formulas to advanced techniques like pivot tables and data visualization, this course offers a full spectrum of skills. Practical exercises and real-world case studies ensure that your learning is rooted in applicability, equipping you with the tools to analyze large datasets and generate actionable insights.

By the end of this course, you’ll be proficient in using Excel for various data analytics tasks. You'll know how to clean, analyze, and visualize data, and you'll be adept at using Excel's advanced features to streamline your analytics process. Whether you're a business analyst, a data enthusiast, or someone aiming to make better data-driven decisions, this course prepares you for the challenges of today’s data-centric world.

Full Fee $720.00 Before GST

GST $64.80 9% of fee

Baseline Nett $424.80 SG/PR age 21+ · 50% funded

MCES / SME Nett $280.80 SG age 40+ · 70% funded

SkillsFuture Enterprise Credit (SFEC)

Eligible companies can use their $10,000 SFEC to cover up to 90% of out-of-pocket course fees for classes ending on or before 30 Nov 2026. A redesigned SFEC starts on 1 Dec 2026.

View on SkillsFuture for Business

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.

Direct Application on SkillsFuture Portal

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.

Submit UTAP Claim

PSEA

Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding.

Check PSEA Eligibility

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, then submit the completed form to us:

PSEA Withdrawal Form Submit PSEA Form

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

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.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
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 with Excel

Explore Excel user interface

Enter and validate data for analysis using Excel Power Query

Data management with Excel

Use formulas and functions

Topic 2: Basic Data Analysis using Excel

Use LOOKUP and REFERENCE functions to integrate information

Use IF functions to analyse data

Basic statistics and use statistical functions

Topic 3: Basic Data Visualisation using Excel

Create chart and reports to identify trends in data

What is regression?

Create reports on regression and risk analysis

Topic 4: Advanced Data Analysis using Excel

Use PivotTables and PivotCharts to identify patterns across multiple datasets

Perform what-if analysis using Scenario Manager, Goal Seek and Data Table

Data governance and security with Excel

Topic 5: Hypothesis Testing with Excel

What is hypothesis testing?

Apply hypothesis testing techniques in Excel

Written Exam
Practical Exam

Course Info

Promo or discount cannot be applied to WSQ courses

Prerequisite

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
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 Software/Hardware Requirement

Software:

You will need the following for this course:

Microsoft Excel (desktop app, Microsoft 365)

Hardware: Windows PC or Mac laptop

Funding Eligibility Criteria

Self-sponsored learners (individuals)

Singapore Citizens and Singapore Permanent Residents aged 21 and above.
Up to 50% course fee funding. Singapore Citizens aged 40 and above receive up to 70% under the Mid-career Enhanced Subsidy (MCES).
Singapore Citizens aged 25 and above can pay the remaining fee with SkillsFuture Credit.

Company-sponsored learners

Singapore Citizens and Singapore Permanent Residents who are direct employees of the sponsoring company.
Up to 50% course fee funding, or up to 70% for employees of SMEs (Enhanced Training Support for SMEs) and for Singapore Citizens aged 40 and above. An SME has no more than 200 employees or an annual turnover of no more than $100 million.
Employers can also claim Absentee Payroll funding for employees who attend during working hours.
Eligible companies can offset their out-of-pocket fees with SkillsFuture Enterprise Credit (SFEC).

Conditions for all funded learners

Attendance is taken digitally with Singpass for every session, including the assessment.
You must complete the course and pass all assessments (assessed as Competent).
If these conditions are not met, the funding is clawed back and the learner or employer pays the full course fee.
9% GST is charged on the full course fee before funding.
Promo and discount codes cannot be used on funded courses.
Any balance after funding can be paid in cash, with SkillsFuture Credit, with PSEA (Singapore Citizens with a PSEA), or partly reimbursed by UTAP for NTUC members.

How to Apply SkillsFuture Credit Claim for Individuals

Singapore Citizens aged 25 and above can use their SkillsFuture Credit (base tier) to pay the course fee after funding. The $4,000 mid-career top-up cannot be used for this course.

Register for this course as self-sponsored and tell us you will use SkillsFuture Credit. Do not pay the amount you plan to claim.
We email you an invoice showing the course fee after funding.
From 60 days before the course starts, and no later than the course start date, log in to MySkillsFuture with Singpass and click Claim credits.
Click Submit a Claim and search for this course by its course code, TGS-2026064861.
Select your class start date, enter the course fee payable after funding and the amount of credit to claim, then upload the invoice (PDF, JPG or PNG, under 4MB).
Review, accept the terms and click Agree and Submit. The credit is paid directly to us; processing can take up to 14 working days.

Changing or withdrawing: cancel the claim on MySkillsFuture at least one day before the course starts. If your class date changes, cancel the claim and submit a new one with the new date.

How to Apply SkillsFuture Enterprise Credit (SFEC)

SFEC helps companies pay for employee training. The current SFEC ends on 30 November 2026, and a redesigned SFEC starts on 1 December 2026.

Current SFEC: classes ending on or before 30 November 2026

Eligible companies received a one-off $10,000 credit, notified by letter to their Corppass administrator. Eligibility generally required at least 3 Singapore Citizen or PR employees and Skills Development Levy contributions.
SFEC covers up to 90% of the company's out-of-pocket course fee after other subsidies.

Check your company's SFEC eligibility and balance on EnterpriseSG.
Register your Singapore Citizen or PR employee for a class that ends by 30 November 2026, as company-sponsored, and pay the course fee after funding.
Your employee attends and completes the course. We submit the attendance and assessment results to SWDA.
No separate claim is needed. SFEC is calculated automatically once the course fee grant is approved and is paid quarterly to your company's IRAS GIRO or PayNow Corporate account.

Any unused balance of the current SFEC expires on 30 November 2026.

Redesigned SFEC from 1 December 2026

Companies with at least 3 resident employees receive a fresh $10,000 in an online SFEC wallet that offsets out-of-pocket fees upfront at enrolment, instead of reimbursing them afterwards. SWDA has not yet published the support rates and claim steps; see OurWorkforce or our SFEC guide.

How to Apply UTAP (NTUC Members)

NTUC members can claim 50% of the unfunded course fee under the Union Training Assistance Programme (UTAP), capped at $250 a year (aged below 40) or $500 a year (aged 40 and above). The cap is shared with UTAP claims for AI tool subscriptions.

Eligibility: you must be an NTUC member paying full membership fees, with your membership paid up before and during the course and when you claim. The course must not be fully paid for by your employer or another source.

Make sure your NTUC membership is paid up before the course starts.
Register for this course with us and pay the course fee after funding and SkillsFuture Credit.
Attend at least 75% of the course and sit all assessments.
Within 6 months after the course ends, go to the NTUC U Portal, open UTAP under E-services, log in with Singpass and choose Course Fee Claim.
Enter the nett course fee you paid (after all subsidies and SkillsFuture Credit, including GST), and upload your invoice or receipt and your certificate or result slip (PDF, JPG or PNG, up to 5MB each).
NTUC usually pays the claim within 4 weeks of submission.

How to Apply PSEA

Singapore Citizens with a Post-Secondary Education Account (PSEA), which stays open until around the year you turn 31, can use it to pay the course fee after funding for PSEA-approved courses. You can also use a sibling's PSEA after your own has been used up.

Check that this course shows the PSEA tag on its MySkillsFuture page.
Check your PSEA balance on MOE's Student Finance System with Singpass.
Download and complete the PSEA withdrawal form, then submit it to us.
We submit the withdrawal request to MOE. You (and your sibling, if you are using their account) authorise it in the Student Finance System. Nothing is withdrawn without this authorisation.
MOE pays us directly. If you have already paid, we refund the amount covered by PSEA.

More details: MOE PSEA overview.

Appeal Process

If you disagree with an assessment decision, you have the right to appeal.

When the assessor gives you feedback, say whether you agree with the outcome. If you agree, you and the assessor sign the Assessment Summary Record; if you disagree, do not sign it.
Discuss the decision with the assessor or the assessment manager first.
If you are still not satisfied, tell the assessor you intend to appeal. The assessor records this in the feedback section of the Assessment Summary Record and informs the assessment manager.
Lodge your appeal within 7 days, giving your reasons, using the Candidate Appeal Form. The assessor can help you write and lodge it.
An Assessment Appeal Panel reviews the information from you and the assessor and makes a decision. A record of the appeal and its outcome is kept.
You will be told the outcome within 2 weeks of lodging the appeal. The panel's decision is final.

Job Roles

Data Analyst
Business Analyst
Financial Analyst
Operations Manager
Marketing Analyst
HR Metrics Specialist
Sales Operations Specialist
Report Developer
Project Manager
Management Accountant
Product Manager
Supply Chain Analyst
Performance Metrics Specialist
Market Researcher
Business Intelligence Coordinator

Trainers

Dr. Alvin Ang is a data scientist and data science educator with a PhD in Operations Research, an MSc in Logistics and a BEng in Mechatronics, Robotics and Automation Engineering, all from Nanyang Technological University. Operations research is the mathematics of better decisions, and his published work on Kanban production-control systems at IEEE conferences reflects the quantitative rigour he brings to every class. He has served as an IBM Data Science Instructor, a Research Fellow at NUS, a Principal Consultant in data science and an Assistant Professor of Mathematics at SP Jain School of Global Management, where he was named Mathematics Professor of the Year, and he lectured undergraduates in statistics and quantitative methods at SUSS. Since 2021 he has trained professionals at Tertiary Infotech in Python, R, SQL, statistics, Excel analytics, Tableau, Power BI, Apache Spark, machine learning and deep learning, and he founded DataFrens.sg, a community for data scientists in Singapore. An ACLP-certified adult educator, he is known for connecting technical concepts to practical, real-world applications, a strength echoed in hundreds of learner recommendations.

In CASL - Data Analytics with Excel, Dr. Ang shows how to get far more out of Excel as an analysis tool. Learners clean and structure data, analyse it with formulas, PivotTables, Power Query and Power Pivot, and present findings in clear charts and dashboards. As a data scientist who teaches Excel analytics alongside Python and R, he emphasises sound analytical thinking and repeatable workflows rather than one-off spreadsheets.

Liew Sing Loon is an ACLP-certified trainer with strong expertise in data analysis, reporting, and business operations. With years of professional and training experience, he has taught a wide range of WSQ and corporate courses, focusing on data handling, visualization, and analytics for decision-making. His combined background in technical training and business applications allows him to make Excel analytics practical and industry-relevant for learners.
In his Excel training, Liew emphasizes the use of core Excel functions, pivot tables, charts, and formula-based analysis to transform raw data into meaningful insights. He ensures beginners and professionals alike can build confidence in using Excel for day-to-day reporting and business decision support. By combining hands-on exercises with real-world examples, he equips learners with the tools to apply analytics in their own workplace contexts.

Ken Hiong is a ACTA certified trainer. Ken has over 20 years of work experience in the healthcare and pharmaceutical industry, having assumed various functional and managerial roles in sales, marketing, business development, finance, business analysis and planning. With an interest and experience in scripting, Ken has worked on projects using HTML, CSS, PHP, MySQL, WordPress, MS Office, VBA, Power BI, etc. Notably, Ken is a proven expert Excel user at work who has made efficient many work processes, improved data analysis and enhanced the quality of business planning and reporting for organizations. Ken graduated with a Pharmacy degree, holds a Master of Business Administration from the National University of Singapore and a Master of Applied Finance from the University of Adelaide. An ardent advocate of lifelong learning, Ken is ACTA trained and seeks to continually upgrade his IT skills through various channels of learning and Microsoft certifications. With MS Office Master qualification, Ken looks forward to assisting individuals and corporations improve their computer skills, productivity and business outcomes.

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.

Jim Gan Chiu Liang is an experienced software developer and data automation specialist with over 15 years of experience in designing and implementing Microsoft Excel VBA solutions for business process optimization. His expertise lies in developing automated workflows, interactive dashboards, and complex financial models that reduce manual workload and improve data accuracy. Jim has worked with organizations across finance, logistics, and education sectors, helping them leverage Excel’s advanced programming capabilities to drive efficiency and decision-making.

Review

Customer Reviews (245)

Dr. Alvin is very knowledgeable, friendly & very clear in deliver his explanation 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 very knowledgeable, friendly & very clear in deliver his explanation. Totally not feel bored at all attending his class, as he also put a lot of efforts to let us always engage & participate in the class. (Posted on 2/19/2023)

The trainer, Alvin is good and conduct very valuable training 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, Alvin is good and conduct very valuable training (Posted on 2/19/2023)

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

Understand the knowledge level across the students before putting them into the same class so that it will not slow down the progression of the lesson (Posted on 2/19/2023)

will recommend Review by Course Participant/Trainee