Course Description
This course empowers data practitioners to approach problems with a human-centered mindset, fostering innovation and meaningful impact. Blending creative thinking with analytical rigor, the course guides learners through the five stages of design thinking—empathize, define, ideate, prototype, and test—while grounding each phase in real-world data challenges. Learners translate business needs into user-centric data solutions, foster cross-functional collaboration, and build prototypes that can lead to scalable innovations. Whether you're a data analyst, scientist, or engineer, this course helps you move beyond numbers to design solutions that truly resonate with users and stakeholders.
Course Curriculum
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1
Understanding Human Centered Design and Role of Empathy
- Course Syllabus
- Getting Started
- Disclaimer
- How do people make decisions?
- Understanding Empathy
- What is Human-Centered Design?
- Human Centered Design Process
- Quiz
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2
Discovery through Research Phase
- Introduction to User Research
- Understand the Context
- Understand the Context | Activity Explained
- Activity 1: Understand the Context
- Prepare for User Research
- Areas of Enquiry
- Conduct the Research
- Conduct the Research | Activity Explained
- Activity 2: Conduct the Research
- Quiz
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3
Insights through Synthesis Phase
- Introduction to Synthesis
- Structure the Information
- Cluster the Information
- Define Needs
- A step-by-step guide to translate research into actionable insights
- Reframe the Problem
- Reframe the Problem | Activity Explained
- Activity 3: Making sense of User Inputs
- Activity 4: Reframe the Problem
- Quiz
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4
Brainstorming through Ideation Phase
- Introduction to Ideation
- Brainstorm to Generate Ideas
- Brainstorm to Generate ideas | Activity Explained
- Handling Missing Values and Modifying the Dataset
- Activity 5: Brainstorm to Generate Ideas
- Cluster the Ideas
- Activity 6: Cluster the Ideas
- Prioritize the Ideas
- Quiz
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5
Prototyping through Experimentation Phase
- Introduction to Experimentation
- Helping Hong Kong embrace a cashless future
- Detail the Idea
- Build a Prototype
- Build a Prototype | Activity Explained
- Activity 7: Build a Prototype
- Test the Prototype
- Prototyping in Design Thinking
- Test the Prototype | Activity Explained
- Activity 8: Test the Prototype
- Conclusion
- Quiz
Who Should Enroll?
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Data analysts, scientists, and engineers seeking user-focused problem-solving skills
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BI and analytics professionals aiming to drive data-led innovation
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Product managers collaborating with data teams
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Key Takeaways
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Learn to apply the five stages of design thinking to data challenges
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Develop user-centric solutions that align with business goals
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Enhance collaboration across data and non-data teams
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Build prototypes to test and refine data-driven ideas
Course Instructor
Shikha Kanakia - Design Consultant - Research and Strategy (Grade 8), Fractal

Course Instructor
Khushboo Vartak - Design Lead, Fractal

Course Instructor
Hemantkumar Das - Design Consultant II, Fractal

FAQs
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Q. Do I need prior design experience to take this course?
A. No prior design experience is required—this course is tailored for data professionals new to design thinking.
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Q. Is this course technical or creative?
A. It blends both—while grounded in data, the focus is on creative, human-centered problem solving.
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Q. Can this course help in real business projects?
A. Absolutely. The methods taught are directly applicable to solving real-world data and business problems.
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Q. Is there a certificate of completion?
A. Yes, participants will receive a certificate upon successfully completing the course.
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Q. Who is the ideal learner for this course?
A. Anyone working with data—analysts, scientists, engineers, or managers—who wants to create more user-centric solutions.