Course Information

  • 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.

Course Brochure

Certification

  • 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.

Statistics Fundamentals Masterclass

Course Code: C440
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What's This Course About

Embark on your journey into the world of statistics with our hands-on Statistics Fundamentals Masterclass. This comprehensive training covers essential statistical concepts, including data collection, types of data, basic probability, and data interpretation methods. Through real-world examples and hands-on exercises, you'll gain the skills needed to understand, analyze, and interpret data in various contexts.

By the end of this course, you'll possess a strong foundational understanding of basic statistics. You'll be equipped to tackle data with confidence, understand statistical tests, and make informed decisions based on your analyses. Whether you're entering the workforce, looking to upskill, or just interested in the power of data, this course serves as an excellent stepping stone into the world of statistics.

Funding Options

No funding is available for this course.

For CASL funding, please check out the details at CASL - Statistics Fundamental Training for Beginners

Course Fee

$700.00 (GST-exclusive)
$763.00 (GST-inclusive)

Course Date

Course Time

* Required Fields

Additional Note

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

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.

Cancellation & Reschedule Policy

  • 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

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

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

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 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).

Review

Customer Reviews (40)

might recommend Review by Course Participant/Trainee
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, (Posted on 2/14/2020)
might recommend Review by Course Participant/Trainee
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, (Posted on 2/14/2020)
might recommend Review by Course Participant/Trainee
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Due to diverse backgrd of those attending, teaching materials need to be more user friendly (Posted on 2/14/2020)
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. (Posted on 10/23/2019)
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A renovated room would be good (Posted on 10/23/2019)

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