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HRD Corp Approved Training Provider Malaysia - Industrial 4.0 Certification Training and Education

Statistics Fundamental Training

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.

Course Brochure

Download Statistics Fundamental Training Brochure

Certificate

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

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M445

Course Booking

MYR2,000.00

Course Date

Course Time

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Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you asap.

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 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

HRDF Funding

Please refer to this video https://youtu.be/Kzpd-V1F9Xs

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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. Zahra Nazemi: Dr. Zahra Nazemi has PhD in mathematical statistics from Universiti Putra Malaysia. Her research interests are applied statistics, medical statistics, Bayesian statistics, statistical inference and Software R. She has worked as lecturer in different universities more than 4 years. She also consulted and worked on assignments for parametric and non-parametric analysis, univariate and multivariate regression analysis in various areas such as medical, economics and psychology. Her other skills are knowledge of research methodology, extensive experience with SPSS, AMOS, R and MINITAB and writing and presenting reports. Moreover, she conducted special training program in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques

Mostafa: Mostafa has more than 5 years’ experience in teaching mathematics and statistics. His main teaching interests are statistical topics such as descriptive analysis and basic data modeling, regression analysis, design of experiment, non-parametric methods, and statistical software such as SAS, R, SPSS, and Minitab. He has started computer programming using visual basics and C++ around 15 years ago, and he has more than 10 years’ experience in programming using R.

Dr. Ummul Fahri Abdul Rauf: Dr. Ummul Fahri Abdul Rauf  has PhD in Applied Statistics from RMIT University, Australia. Her research interests are applied statistics, multivariate analysis, statistical modelling, statistical inference and programming using R Software. As per her affiliation with National Defence University of Malaysia (NDUM) for 12 years, she is also experienced as principal investigator and has worked on a few research grants for parametric and non-parametric analysis, univariate and multivariate analysis using copulas in various areas in engineering, social science, and psychology. She has a strong fundamental knowledge of research methodology, extensive experience with Excel, SPSS, R and MINITAB in writing and presenting reports. At present, she is conducting a special training program in statistical programming including advanced multivariate data analysis using Copulas. Besides teaching and research, her additional duties involve assisting the Director of Quality Assurance and Data Management Centre at NDUM to coordinate and monitor implementation of Quality Management System (QMS) and conduct internal and external audits, to coordinate collection and verification of data for continual enhancement and liaise with relevant external agencies on academic quality compliance issues e.g. Ministry of Higher Education, Malaysian Qualification Agency. Dr. Ummul Fahri currently is the deputy director for Quality Assurance and Data Management Centre and has been holding the post for 4 years.

Customer Reviews (21)

might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 19/03/2024)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 19/03/2024)
might recommend Review by Course Participant/Trainee
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2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 22/02/2024)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 22/02/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 22/02/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 21/02/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 21/02/2024)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 21/02/2024)
might recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 21/02/2024)
ll are great. Very easy to understand Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
to prepare data exercises in Excel format instead of Minitab
(Posted on 17/03/2023)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 17/03/2023)
All are great. Very east to understand Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
To prepare the data exercises in excel format instead of Mnitab (Posted on 17/03/2023)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
To me, this is great enough

Not much and I’m looking forward for my next training with Tertiary’s team (Posted on 02/04/2022)
will recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
excellent (Posted on 08/08/2020)
Excellent Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
excellent (Posted on 19/07/2020)
Interesting course Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
More exercises and duration of the course (Posted on 19/02/2020)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Talk more on interpretation of analysis with excel (Posted on 20/12/2018)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Venue; content of the course (one of the example is not correct in principle, which the trainer agree as well, please remove the example and replace with another one, this will only create confusion to participant); suggest to provide an overview/chart at the end of each section, so that participant know what have been gone through and to apply which formula under which condition. The training material should not solely explain in boring words; A lot of exercise require excel, but none of the example are readily available in excel sheet, trainer spent a lot of time to key in again to show the example, I only realize the excel is available for download at the end of the course, this is very not professional and seems like the details are not been communicated well.

Suggest to understand the participants background even before the first day of course. So that all example given in class is direct to our application, or at least closer. (Posted on 19/12/2018)
Might Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
Venue, bigger projected screen (Posted on 17/12/2018)
Will Recommend Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
. (Posted on 20/06/2018)

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