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Course Overview

In collaboration with Open Learning, this course is designed to equip you with basic knowledge of Big Data and Analytics facts, concepts and principles and, more importantly, how these principles apply to business such as cafe, retail, financial institution or travel agency.

 

You will master skills that you can transfer into your personal or professional life.

 

Topics covered in this course include Internet of Things, Big Data cycle, Business drivers for analytics, Big Data business strategy, Big Data value creation process and envisioning process, Data structures, Data repositories and more.

 

This course is offered in collaboration with:
 

Openlearning

 

 

Who Should Attend

Individuals or professionals who are interested to acquire practical applications of Big Data and Analytics in real life scenarios with consideration to market and business needs.

What You'll Learn

Upon completion of the Big Data and Analytics in Business course, you will:

 

  • Understand the basic concepts of Big Data
  • Debate use of and practical applications of Big Data and Analytics in real life scenarios with consideration to market and business needs.
  • Analyse Big Data use cases.
  • Apply concepts of Big Data and Analytics and define a problem for a business model of own choice.

 

Level

 

Basic

 

 

Certification

 

You will receive a digital certificate of completion co-issued by Temasek Polytechnic and OpenLearning

For more information on course fee / schedule, or to apply,
CLICK HERE

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Course Contact

  • 67881212

  • Monday - Thursday: 8:30am - 6:00pm
    Friday: 8:30am - 5:30pm
     
    Closed during lunchtime, 12:00pm - 1:00pm
    and on weekends and public holidays.
  • Website: https://www.tp.edu.sg/tsa

  • Temasek SkillsFuture Academy (TSA)

    Temasek Polytechnic

    East Wing, Block 1A, Level 3, Unit 109

    21 Tampines Avenue 1,

    Singapore 529757

    • Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

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