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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.  

Topics include:

    • 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

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    SSG WSG SkillsConnect WDA Absentee Payroll for Company

    Course Code: CRS-N-0040758

    Course Booking


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    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 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 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 (3)

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    Will RecommendReview by Jian Bing
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