About Course
Course Schedule
Course Structure
Entry Requirements
Financial Matters
About Course
Course Objectives
This module discusses the principles and techniques for creating effective visualisations based on graphic design and perceptual psychology. Using widely adopted tools, learners will apply these principles and techniques to create rich visualisations for analysis and presentation. Learners will learn visual analysis techniques to grasp pertinent information, as well as apply exploratory techniques to further derive key insights. Data storytelling and information graphics best practices will also be explored to allow learners to present data effectively and eloquently.Course Description
Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) is a 75hrs module.Course
Schedule
Classes Day: Every Mon or Thurs
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning
Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.
Time: 6pm to 10.30pm
Mode of training: Classroom, Synchronous eLearning
Recommended that learners have prior knowledge of Python programming before enrolling in other modules. If learners do not have a background in Python programming, they are encouraged to take Programming for Analytics first.
Course Structure
TPG course reference No.
TGS-2023040954
Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1)
Entry Requirements
Condition 1
Highest qualification
Polytechnic Diploma or
Condition 2
Highest qualification
Bachelor's Or Equivalent or
Condition 3
Working experience
Full-time; Duration: 1 yearFinancial matters
Course fees payable (incl. GST & excl. supplementary fee)
Description | Data Visualisation and Storytelling - Part of Post Diploma Certificate in Programming for Analytics and Data Visualisation (SDDA1) | Total course fee |
---|---|---|
Full Course fee | $2,485.20 | $2,485.20 |
PR Sponsored by SME | $289.56 | $289.56 |
Singapore Citizen Sponsored by SME | $289.56 | $289.56 |
Singapore Citizen Aged 40 & Above | $289.56 | $289.56 |
Long-Term Visit Pass Plus | $745.56 | $745.56 |
Singapore PR | $745.56 | $745.56 |
Singapore Citizen Aged Below 40 | $745.56 | $745.56 |
GST rate
The course fees payable above are inclusive of 9% GST rate.
Payment option
The first payment needs to be made after accepting the offer.
Allowed payment by
The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).
Important note: All course fees are determined based on prevailing funding policies and subject to review and revision annually.
Nett Supplementary Fees Payable
- GPA Insurance Fee S$2.11,subject to GST,fees payable S$2.30 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
- Other Fees S$7.43,subject to GST,fees payable S$8.10 Allow payment by Post-Secondary Education Account (Adhoc withdrawal form); Allow payment by Post-Secondary Education Account (Standing order form)
Refund and withdrawal policy
- Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
- Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
- Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.