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Data Analysis and Interpretation

Course Content

Uncover new insights and patterns in data to advise stakeholders on issues pertaining to design solutions.

  • Types and uses of data

  • Phases of logical data modelling

  • Data design documentation

  • Scales of measurement

  • Tools to support data analysis

  • Frameworks for qualitative and quantitative analysis

  • Statistical analysis

  • Data mining techniques

  • Problems associated with data interpretation

  • Hypotheses testing methods


Lessons are conducted in a structured yet pragmatic manner as lectures are blended with classroom/group discussions, case studies and presentations. The group discussions give participants the opportunities to share their experience while case studies & presentations help the practice and application of concepts and approaches learned through the course.

Learning Outcome

  1. Understand the type of data, data modelling, data design documentation and scales of measurement for business decisions.

  2. Understand and apply the methods on how to extract and mine data.

  3. Apply frameworks for qualitative, quantitative and statistical analysis to draw conclusions from the research.

  4. Evaluate data design models and apply different methods to present data to stakeholders.

Suitable for

  • Product Manager, Assistant Manager, Executive, Supervisor, Team Lead in the product development process of an organisation.

  • PMEs who have the relevant work experience from other industries or sectors wanting to enhance their knowledge and skills, wanting to expand their job portfolio or are seeking national certification/qualification in the design industry specialising in business.

  • PMEs and career switchers with supervisory or managerial experience, or individuals in other related industries or wanting to join the design industry specialising in business.

  • Applicants must be proficient with digital devices and apps to attend the e-learning session and complete all online assessments independently. 

Course Fee

Funding Source
Course Fees
SkillsFuture Funding
Total Nett Fee
GST (8%)
Total Fee Payable to SCCIOB
SME-sponsored Local Employees (i.e Singapore Citizen & Permanent Residents)
SkillsFuture Enhanced Training Support for SMEs
Employer-sponsored and Self-sponsored Singapore Citizens aged 40 years and above
SkillsFuture Mid-Career Enhanced Subsidy
Singapore Citizens & Permanent Residents
SkillsFuture Funding (Baseline)


Synchronous e-learning
In-Classroom Training
TGS Code
Course Support Period
02 Feb 2023 to 01 Feb 2025
21 Oct 2022 to 20 Oct 2024


On the Phone

I like it. Let's start.

During the development of the profession, we will help you find an internship to consolidate the acquired skills and gain practical experience.

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