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WSQ - Statistics Fundamental Training for Beginners

Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. However, Statistics is not just the realm of data scientists. 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. Statistics is now a core skill for many careers.

Learn the fundamental of statistics from this two day WSQ statistics course

Course Objective

Learners will be able to perform statistical analysis with analytics tools

Course Learning Outcomes

After the end of this WSQ Python course, learners will be able to :

    • Apply descriptive statistics and probability theory  to describe data
    • Apply sampling theory to estimate population statistics and confidence interval
    • Perform hypothesis testing for means and proportions
    • Perform goodness of fit testing
    • Perform analysis of variance testing   
    • Perform regression statistical modeling
    • Determine correlation and covariance among multiple factors

    Certification

    Two certificates will be awarded to trainees who have demonstrated competency in the WSQ Statistis Fundamental Training assessment and achieved at least 75% attendance.

    • A SkillsFuture WSQ Statement of Attainment (SOA) – PTP-BIN-4055-1.1 Data and Statistical AnalyticsTSC under the Public Transport Skills Framework issued by WSG
    • Certification of Achievement issued by Tertiary Infotech Pte Ltd 

    WSQ 80%-95% Funding

    WSQ funding is only applicable to Singaporeans and PR. Subject to eligibility, the funding support is from 80% -95% subject to funding caps.

    Full Fee GST Nett Fee after Funding (Incl. GST)
    Normal MCES WTS
    $688 $48.16 $496.16 $116.96 $82.56

    Normal: Singaporean/PR age 21 and above
    MCES: Singaporean age 40 and above
    WTS: Singaporean age 35 and above and earning  $2,000 or below per month

    SkillsFuture Credit

    Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.Click here for SkillsFuture Credit submission

    UTAP

    NTUC members can offset course fee payable wiht UTAP after funding.Click here for UTAP submission

    PSEA

    Eligible Singapore Citizens can use their PSEA funds to offset course fee payable after funding. Click here for ad-hoc PSEA application form.

    WSQ Eligibility

    Please fill up the WSQ Trainee Eligibility Form after you have registered for this course

    Please do not pay up front. We will advise you on the eligibility and nett fee after registration

    Course Code: CRS-Q-0040651-PTP

    Course Booking

    $688.00 (GST-exclusive)
    $736.16(GST-inclusive)

    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.


    Course Details

    Topic 1 Basic 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

    Mode of Assessment

    • Written Assessment (Q&A)
    • Practical Performance

    Course Admin

    Prerequisite

    The learner must meet the minimum requirement below :

    • At least O levels and above education
    • Read, write, speak and understand English

    Mode of Training

    Instructor Classroom Training

    WSQ Funding Validity Period

    02 Jun 2020 to 02 Jun 2022

    WSQ Course Fee Funding

    Self-Sponsored

    • Click here for more info on the funding for self-sponsored.
    • Eligible Singapore Citizens can use their SkillsFuture Credit and PSEA funds to offset course fee payable after funding.

    Employer-Sponsored

    • Click here for more info on the funding for employer-sponsored.
    • Absentee Payroll claimable by SMEs: Up to 80%of hourly basic salary capped at $7.50/hr
    • Absentee Payroll claimable by Non-SMEs: Up to 80% of hourly basic salary capped at $4.50/hr
    • Absentee payroll claimable by companies (SMEs and Non-SMEs) sponsoring candidates under WTS Scheme: Up to 95% of hourly basic salary (no dollar cap)

    WSQ Assessment

    • Participants will be assessed through individual assessment
    • Passing Criteria – Participants are to answer all questions accurately in the individual written assessment.
    • Participants may need to attend additional coaching sessions and re-assessments if they do not pass the required competency standards. 

    Who Should Attend

    • Data Analyst
    • Programmers
    • IT Engineers
    • Data Scientist

    Trainers

    WSQ Statistics TrainerDr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products

    Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.

    Dr. Alfred Ang is a ACTA certified trainer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.

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