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Statistics Fundamental Training

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

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.

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Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Statistics Fundamental Training

Course Code: C440

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Dive into the riveting world of statistics with our Statistics Fundamental Training, designed to equip you with the tools and techniques pivotal to insightful data analysis. Initiate your journey with the foundational concepts of descriptive statistics and probability theory, enabling you to aptly describe and interpret data. Embrace the power of sampling theory, gaining expertise in estimating population statistics and confidence intervals, ensuring your conclusions are both precise and actionable.

Transitioning from basic theories to advanced applications, the course dives into hypothesis testing for means and proportions, guiding you in validating data-driven assumptions. Understand the nuances of goodness of fit testing, analysis of variance, and regression statistical modeling, all pivotal in unraveling data's hidden intricacies. Furthermore, delve into the relationships between data points, mastering the art of determining correlation and covariance among multiple factors. By the course's conclusion, you'll be well-versed in the myriad facets of statistics, empowering you to make informed decisions and craft compelling data stories.

No funding is available for this course.

For WSQ funding, please checkout the details at WSQ - Statistics Fundamental Training for Beginners

Course Fee

$498.00 (GST-exclusive)

$542.82 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

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 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

P-Value and Significance Level

Types of Hypothesis Testings

One Tailed vs Two Tailed Hypothesis Testing

Type 1 and Type 2 Errors

Topic 4 Chi-Square Testing

Overview of Chi-Square Hypothesis Testing

Chi-Square Statistic and Distribution

Goodness of Fit Test

Topic 5 ANOVA: Analysis of Variance

What is Analysis of Variance

F Statistics and Distribution

One Way ANOVA

Two Way ANOVA

Topic 6 Regression

• What is Regression?

• Residues and Mean Square Error

Topic 7 Correlation Analysis

Covariance and Covariance Matrix

Correlation Coefficient and Correlation Matrix

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

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.

Target Age Group: 21-65 years old

Minimum Software/Hardware Requirement

Software:

You can download and install the following software:

Hardware: Windows and Mac Laptops

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

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 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.

Liew Sing Loon is a ACTA certified trainer. Liew Sing Loon graduated from the National University of Singapore (NUS) in 1992 with a Second Upper Honors Degree in Electrical Engineering. He started his career as an Electronic Product Design Engineer for four years in a Multinational Company which sell the products worldwide. The job provided him practical knowledge in various aspects of manufacturing operations ranges from Design, Quality, Production and Procurement. He then spent fifteen years in Information Technology Sector as a Key Account Manager in selling IT solutions to Banking, Telecommunications and Government clients. The job provided him the opportunities to propose IT solutions, integrating software, hardware and services, to solve customers’ problems to achieve their strategic business objectives. He joint a German Product Test company to develop its business in providing product Safety, Immunity, Electromagnetic Compatibility (EMC) Certification test. While working in the industry, Liew Sing Loon obtained a Master of Science (MSc) in Technology Management from NUS.
In the last decade, Liew Sing Loon has been Adjunct Lecturer in several Institutes of high learning, transferring his knowledge on Quantitative & Statistical Analysis, Operations, Project & Quality Management to learners ranging from Diploma, full time undergraduates and working adults.Liew Sing Loon has a Certificate of Completion in Education Psychology Course and Teaching & Learning in Higher Education Program conducted by National Institute of Education (NIE).