Course Details

Professional Certificate
Professional Certificate in Big Data Analytics / Sijil Profesional Analitik Data Raya
Teacher

UMCourse UMCCed

Last Update:

March 10, 2026

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About Course

Big data analytics refers to the use of advanced analytic techniques on large data sets, including structured and unstructured data, as well as streaming and batch data.

Participants will learn about big data, various data sources, types of analytics, and will become familiar with a range of tools and techniques required to extract, manipulate, interpret, and present data.

 

Analitik data raya merujuk kepada penggunaan teknik analitik lanjutan terhadap set data yang besar, termasuk data berstruktur/ tidak berstruktur serta data aliran/ berkelompok.

Peserta akan mempelajari tentang data raya, pelbagai sumber data, jenis-jenis analitik, serta didedahkan kepada pelbagai alatan dan teknik yang diperlukan untuk mengekstrak, memanipulasi, mentafsir dan membentangkan data.

    1. To understand the fundamental concepts of big data and its significance in modern information management.
    2. To develop proficiency in using tools and techniques for extracting, manipulating, interpreting, and presenting data effectively.
    3. To enhance capability in analysing large-scale data to support data-driven decision-making.
    1. Memahami konsep asas data raya dan kepentingannya dalam pengurusan maklumat moden.
    2. Menguasai penggunaan alatan dan teknik bagi mengekstrak, memanipulasi, mentafsir dan membentangkan data secara berkesan.
    3. Meningkatkan kecekapan dalam menganalisis data berskala besar untuk menyokong pembuatan keputusan yang berasaskan data.

A Professional Certificate will be awarded by UMCCed to participants upon successful completion of the course.

 
Sijil Profesional akan dianugerahkan oleh UMCCed kepada peserta setelah berjaya menamatkan kursus.

Course Content

MODUL 1 : Introduction to big data

  • Video 1 : What is big data?
    01:30
  • Video 2 : Types of big data
    01:34
  • Video 3 : The V in big data
    02:26
  • Video 4 : What is big data analytics?
    02:30
  • Video 5 : Challenges in big data analytics
    02:46
  • NOTE
    00:00
  • QUIZ : Module 1

MODUL 2 : Big Data Analytics

MODUL 3 : CRISP-DM Methodology

MODUL 4 : Predictive analytics: A closer look

MODUL 5 : Predictive Analytics: Continuation

MODUL 6 : Visualization

MODUL 7 : Case study: Mayabank’s online transaction fraud

FINAL ASSESSMENT
Answer all questions.

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RM2,000.00
Enrolment validity: Lifetime
  • Instructor
    UMCourse UMCCed
  • Language
    English

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