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Course Details
Course Details
What You'll Learn
Topic 1: Introduction to Statistics
Why Statistics Matter
Categorical and Quantitative Data
Descriptive Statistics: Mean and Standard Deviation
Probability and Conditional Probability
Bayes Theorem
Discrete Probability Distributions
Continuous Probability Distributions
Software for Statistical Analysis
Topic 2: Sampling
Sampling Consideration
Central Limit Theorem
Sampling Distribution of the Mean
Standard Errors for Proportion and Mean
Confidence Interval
T-Statistics vs Z-Statistics
T-Score Table and Degree of Freedom
Calculating Confidence Interval of T-Score
Topic 3: Hypothesis Testing
Overview of Hypothesis Testing
Steps for Performing a Hypothesis Testing
One Tailed vs Two Tailed Hypothesis Testing
One Sample Hypothesis Testing
Two Sample Hypothesis Testing
Pooled Sample T-Test
Type 1 and Type 2 Errors
Topic 4: Chi Square Test
Chi Square Distribution
Goodness of Fit Test
Topic 5: ANOVA: Analysis of Variance
What is Analysis of Variance
One Way ANOVA
Total Sum of Squares
Within Variance and Between Variance (SSW and SSB)
Hypothesis Testing with F-Statistic
Topic 6: Regression
What is Regression?
Residues and Mean Square Error
Perform Regression Modeling
Topic 7: Correlation Analysis
What is Correlation Analysis?
Computation of Correlation Coefficient
Correlation and Covariance Matrices
Assessment
- Written Exam
- Practical Exam
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 SWDA's (formerly 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 SWDA's (formerly 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), SWDA 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
- SWDA 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
- The candidate has the right to disagree with the assessment decision made by the assessor.
- When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
- If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
- If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
- If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
- 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.
- The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
- The candidate must lodge the appeal within 7 days, giving reasons for appeal
- The assessor can help the candidate with writing and lodging the appeal.
- he assessment manager will collect information from the candidate & assessor and give a final decision.
- A record of the appeal and any subsequent actions and findings will be made.
- An Assessment Appeal Panel will be formed to review and give a decision.
- The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
- The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
- Please click the link below to fill up the Candidates Appeal Form.
Job Roles
Job Roles
- Data Analyst
- Market Researcher
- Business Analyst
- Quality Assurance Specialist
- Social Science Researcher
- Graduate Student
- Economic Analyst
- Product Manager
- Human Resources Analyst
- Healthcare Data Specialist
- Educational Researcher
- Sports Statistician
- Financial Analyst
- Behavioral Scientist
- Environmental Data Specialist.
Trainers
Trainers
Dr Alvin Ang is an ACLP-certified trainer with a Ph.D. in Operations Research from Nanyang Technological University and more than a decade of teaching and research experience. He has taught statistics, quantitative methods, and data analytics at NTU, SUSS, Curtin University, and SP Jain School of Global Management, earning multiple teaching awards. He also brings practical experience as a data science consultant and founder of DataFrens.sg, an open-source data science community.
Dr Ang’s training in statistics fundamentals is designed to make abstract concepts approachable for beginners. He introduces learners to key topics such as probability, sampling, hypothesis testing, and regression, using Python, R, and Excel-based methods. With his engaging and learner-centered approach, Dr Ang ensures participants develop not only technical skills but also the ability to interpret and communicate statistical insights effectively in business and research 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.
Liew Sing Loon is an ACLP-certified trainer with a strong background in adult education and applied learning. With years of experience designing and delivering WSQ-aligned programs, he specializes in making complex technical concepts accessible to learners from diverse professional backgrounds. His expertise includes quantitative reasoning, data literacy, and statistical tools for business applications.
In his statistics fundamentals training, Liew focuses on building a clear conceptual foundation for beginners. He guides learners through core topics such as measures of central tendency, variability, probability, and statistical inference, ensuring they gain both theoretical understanding and practical skills. With his learner-centered teaching style and structured approach, Liew equips participants to apply statistics effectively in workplace scenarios and decision-making processes.
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.
Review
Customer Reviews (68)
- I have attended the lesson on Statistics Fundamental by Dr. Alvin and appreciate the in-depth explanation and examples given. Review by Course Participant/Trainee
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I have attended the lesson on Statistics Fundamental by Dr. Alvin and appreciate the in-depth explanation and examples given. His lessons are very lively and interactive. He made it easy to understand the concepts and applications, which helped me greatly in furthering my understanding and application of this topic. I highly recommend anyone who wishes to have a better understanding of these topics to attend his lessons. You will greatly benefit from his lectures. I have attended the lesson on Statistics Fundamental by Dr. Alvin and appreciate the in-depth explanation and examples given. His lessons are very lively and interactive. He made it easy to understand the concepts and applications, which helped me greatly in furthering my understanding and application of this topic. I highly recommend anyone who wishes to have a better understanding of these topics to attend his lessons. You will greatly benefit from his lectures. (Posted on 7/8/2022)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 fantastic trainer and has shown great knowledge in Statistics. Review by Course Participant/Trainee
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Dr. Alvin is fantastic trainer and has shown great knowledge in Statistics. He has been teaching this area for more than 10 years, he is truly a gem in Data Science. Look for Dr. Alvin you will not go wrong. Wonderful Job! (Posted on 3/9/2022)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 has shown in-depth knowledge in statistic Review by Course Participant/Trainee
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Dr. Alvin has shown in-depth knowledge in statistics and he has been teaching this subject for over 10 years. With his practical knowledge, the lesson was delivered in a very interactive and interesting manner. Highly recommended for those who want to enhance their statistics fundamental knowledge. (Posted on 3/9/2022)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 recommend Review by Course Participant/Trainee
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. (Posted on 3/8/2022)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 recommend Review by Course Participant/Trainee
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.Content is heavy but trainer gave very good explainations. (Posted on 1/18/2022)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
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