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Statistics for Data Analysis Masterclass

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Statistics for Data Analysis Masterclass

Course Code: C440
  • HRDF

7 Review(s) | Add Your Review

What's This Course About

Turn raw data into defensible insight in this hands-on Statistics for Data Analysis Masterclass. Statistics is the language of data analysis—the discipline that separates a genuine pattern from random noise. Starting from descriptive statistics and probability theory, including Bayes theorem and the key discrete and continuous distributions, you will learn to summarise and interpret data with confidence. You will then master sampling theory—the central limit theorem, standard errors and confidence intervals—so the conclusions you draw from a sample stand up when applied to the whole population.

The masterclass then moves into the inferential toolkit that powers real-world analysis: hypothesis testing for means and proportions, chi-square goodness of fit testing, analysis of variance (ANOVA) and regression modeling, plus correlation and covariance for uncovering the relationships between variables. By the end of the course, you will be able to choose the right statistical test for the question at hand, run it, and communicate the result as a clear, data-driven story—a skill set that underpins every serious role in analytics and data science.

Course Fee

MYR2,200.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide 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 as soon as possible.

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. The minimum class size to start a class is 3 Pax.

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

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

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (7)

Good course materials 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 10/12/2024)
Superb training 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
The course content was comprehensive and up to date. The practical exercises were the best part. (Posted on 12/06/2024)

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