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Instructor-led Classroom Adult Training in Singapore - Modular Fast Track Skill-Based Trainings

Statistics Fundamental Training

Statistics is not just the realm of data scientists. Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. Statistics are a core skill for many careers.  All types of jobs use statistics. Statistics are important for making decisions, new discoveries, investments, and predictions. Whether the subject is political races, sports rankings, shopping trends, or healthcare advancements, statistics is an instrument for understanding your favorite topic at a deeper level.  

Course Highlights:

    • Means, medians, and modes
    • Standard deviation
    • Probability
    • Bayes Theorem
    • Probability distributions
    • Random sampling
    • Confidence intervals
    • Hypothesis testing
    • t-statistic vs. z-statistic
    • Confidence intervals
    • Chi-square testing
    • ANOVA testing
    • Regression testing


    All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

    Funding and Grant Applications

    Click the links below to apply. Note that you need to register the course first.

    For Singaporeans: SkillsFuture Credit

    For Company: WSG Absentee Payroll

    Course Code: CRS-N-0040758

    Course Booking

    $498.00 (GST-exclusive)

    Course Date

    Course Time

    * Required Fields

    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.

    Training Grant and Subsidy

    All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the SkillsFuture Credit course directory

    Course Details

    Day 1

    Module 1 Basic Statistics

    • Why Statistics Matter
    • Mean and Median
    • Range and Standard Deviation

    Module 2 Types of Data

    • Categorical Data
    • Quantitative Data
    • Normal Distribution

    Module 3 Sampling

    • Sampling Distribution
    • Central Limit Theorem
    • Confidence Interval

    Module 4 Hypothesis Testing Using Z-Score

    • Steps for performing a Hypothesis Test
    • One Tailed vs Two Tailed Test
    • Type 1 and Type 2 Errors

    Module 5 Small Sample Sizes

    • T Score vs Z Score
    • T distribution and Degree of Freedom
    • Confidence Interval of T-Score
    • Hypothesis Testing using T-Score

    Day 2

    Module 6 Comparing Two Populations (Means)

    • Independent Samples vs Dependent Samples
    • Confidence Interval of Difference Between Two Population Means
    • 2-sample T Test
    • Pooled Sample Standard Error

    Module 7 Chi Square Test

    • Chi Square Distribution
    • Goodness of Fit Test

    Module 8 ANOVA: Analysis of Variance

    • One Way ANOVA
    • Total Sum of Squares
    • Within Variance and Between Variance
    • F Statistic
    • Two Way ANOVA

    Module 9 Regression

    • Linear Regression
    • Multiple Regression
    • Logistic Regression

    Module 10 Correlation

    • Two Factors Covariance
    • Multiple Factors Covariance Matrix
    • Two Factors Correlation
    • Multiple Factors Correlation Matrix

    Who Should Attend

    • Data Analysts
    • Data Scientists
    • Engineers




    Statistics TrainerStephen Tan is a Supply Chain professional and practitioner with extensive experiences in End to End Supply Chain, Operations and Supply Management. His experience hails from his career at senior management level at MNC, SME and Non-Profit organisation with industries ranging from Electronic, Chemical, Healthcare, and Offshore & Marine including Oil & Gas industries. He graduated with a Bachelor of Business Administration with Distinction from RMIT University. Stephen also has an MBA from Macquarie University as well as a Certified Diploma in Accounting & Finance (ACCA, UK). He is awarded Life Time Certification in Supply Management from ISM, USA and the IE study award with Singapore Management University for Global Supply Chain Management.

    He trains (ACTA certified), lecture and does adhoc consultancy project and had worked a philanthropic organization and currently Unilever Indonesia working on Supply Chain and Operations optimization after his stint with a Norwegian regional AP office working on ERP project.

    Stephen is an ardent and enthusiastic user of MS Excel not only to simplify reporting for KPI but also as a tool for problem solving, decision making and cost optimization. He has also created various MS Excel tools that linked with ERP to create What-If scenario to solve problem and provide optimum solution. He believes in lifelong learning and has obtained a Specialist Diploma in Business Intelligence and Data Analytic in 2017. He desires to extend the Data Visualization capability of MS Excel, deepening his knowledge, simplifying it and sharing and teaching his knowledge to professional as well as layman.

    He had worked previously with HP, CMB as Regional Procurement and handles End to End Supply Chain, Operations, Logistics with top European Flavor and Fragrance companies: Dragoco, Symrise. He also does IT projects, ERP implementations with various systems ranging from RenCS, SAP, IFS and as well as smaller SAGE-ACCPAC supply module systems which automates as well as optimize resources.

    He has also developed business analytic system for Supply Chain, Order management, On-Time Delivery and Inventory Control system using combination of Excel, MS Access and other IT tools to leverage data from IT and ERP systems.

    Statistics TrainerTint is currently a PhD student studying at Wee Kim Wee School of Communication and Information (WKWSCI) in Nanyang Technological University (NTU). She has a mixed academic background with undergraduate and postgraduate degrees in information science and computer science from Nanyang Technological University (NTU) and University of Computer Studies Yangon (UCSY). She also has Specialist Diploma in Data Mining and Statistical Analysis from Singapore Polytechnic.

    As an ACTA certified trainer, Tint has been conducting WSQ courses offered by Library Association of Singapore (LAS) since 2010. As an academic librarian, she has also more than ten years of experience in conducting workshops for undergraduate and postgraduate students in NTU and SMU in the areas of information literacy and research skills.

    Statistics TrainerHwee Young is very passionate about the field of data science. He won the NUS Data Science Competition 2018 at 2nd place and worked as a Data Scientist at ST Engineering Land System, dealing mainly with predictive algorithms and anomaly detection. With his background in Mathematics, he has a strong grasp of the concepts of machine learning and deep learning. He is also skilled in the field of statistics and mathematical optimisation

    Statistics TrainerKhoo Yong graduated from NTU with a bachelor degree in Mechanical and Production Engineering. Currently, working as a principal engineer in one of the top 3 Semiconductor Manufacturing Pure-Play Foundry in the world, he is a statistician support Operations and Engineering, driving the Statistical Process Control Program in the Fab. He specializes in Statistics , basic Excel and advance Excel, including excel macro coding. He regularly conduct Statistical Process Control Courses in the company. He is a certified ACTA Trainer ( Advance Certificate in Training and Accessing) as well as a certified Black Belt.

    Statistics TrainerKM Tan is currently a part time statistics lecturer in polytechnics. He has more than 15 years of Quality Engineering and Quality Management experience with a global electronic manufacturing MNC, where there were opportunities to practice statistical and quality improvement methodologies. His area of specialty include SPC, SQC, Process Capability Improvement, DoE, FMEA, 6-Sigma, GD&T, GRR and Quality Systems.

    He is graduated from NUS with a B.Sc. in Mechanical Engineering and M.Sc. in Industrial & System Engineering. He was also a Certified Quality Engineer with ASQ.

    Statistics TrainerMarcus Lee has his degree in Computer Science and a background in Statistics from the University of Otago. Before returning to Singapore, he analysed vacation data provided by the New Zealand Board of Tourism to determine the favourite activities of Australian, Japanese, and German tourists in New Zealand. In addition to a vast number of other demographics statistics, he has been able to provide significant advice to the board on how to promote tourism in New Zealand. His core specialization skills are Java, R, Statistical Analysis, Machine Learning, NumPy, Scikit, and Network Management. He has also a fair amount of experience in C, C++, and Python.

    Statistics TrainerXu Xiaofei is currently a PhD candidate in the Department of Statistics and Applied Probability in NUS/ She got her bachelor degree in Statistics and Finance at 2015 in University of Science and Technology of China, and start to pursue my PhD degree since then at NUS and will graduate at around 2019. She have been a teaching assistant for more than 2 years in NUS, the most modules are related to statistics and business data analytics . Her research interests are functional data analysis and adaptive approach with application to financial time series and energy data. Her skill sets are R, Matlab, Excel and data analysis

    Statistics TrainerDr. Zhu Tianming did her PhD in NUS, major in Statistics, and will graduate in August 2017. She has been a part-time teaching assistant for more than three years in NUS. She has taught the modules related to probability, regression analysis, categorical data analysis and multivariate statistical analysis. Her research interests are functional data classification and her core skills are R, machine learning and statistical analysis.

    Customer Reviews (7)

    Will RecommendReview by Mohamed
    1. Do you find the course meet your expectation?
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    . (Posted on 5/5/2019)
    Great fundamental courseReview by Ez
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    Trainer was knowledgeable and patient. Made sure to summarise key concepts along the way and check that we understood. Made good use of Excel. Well-paced (Posted on 8/8/2018)
    Might RecommendReview by Zhi Heng
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    . (Posted on 8/5/2018)
    Will RecommendReview by Natarajan Tamilalagan
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    Stationary such as papers, files and pen can be provided for participants to take class notes.

    Coffee and tea was not available to me on my first day. However on second day, I was able to get coffee, tea and biscuits. (Posted on 6/11/2018)
    Will RecommendReview by Terana Thongpitakkul
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    Nil (Posted on 5/13/2018)
    Might RecommendReview by Srieedar
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    Nil (Posted on 5/3/2018)
    Will RecommendReview by Jian Bing
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    Nil (Posted on 10/17/2017)

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