Design Thinking for Data Professionals
This course is part of Mastering User Centric Design with Generative AI.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Mastering User Centric Design with Generative AI Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Apply human-centered design principles
Conduct effective user research
Develop testable prototypes
Analyze decision-making factors
Create validated solutions
Skills you'll gain
This course includes:
1.7 Hours PreRecorded video
10 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Get a Completion Certificate
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There are 5 modules in this course
This comprehensive course teaches data professionals how to apply human-centered design principles to create effective solutions. Students learn the complete design thinking process from empathy and research through ideation and prototyping. The curriculum covers decision-making psychology, user research methods, prototype development, and user testing techniques.
Human Centered Design and Empathy
Module 1 · 1 Hours to complete
Phase 1: Research
Module 2 · 1 Hours to complete
Phase 2: Synthesis
Module 3 · 1 Hours to complete
Phase 3: Ideation
Module 4 · 1 Hours to complete
Phase 4: Experimentation
Module 5 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Mastering User Centric Design with Generative AI
Instructors
Design Thinking Expert Bridging Data Science and User Experience
Khushboo Vartak stands out as a distinguished instructor at Fractal Analytics, specializing in Design Thinking methodologies for data professionals. As the lead instructor for "Design Thinking for Data Professionals" course, she brings a unique perspective to combining human-centered design principles with data science applications. Her course is structured across five comprehensive modules, focusing on decision-making analysis, prototype creation, and user testing validation. The curriculum she developed emphasizes practical application, teaching data professionals how to analyze cognitive and emotional factors in decision-making, apply Human-Centered Design principles in product development, and conduct effective user research. Her teaching methodology incorporates hands-on projects, including brainstorming techniques and prototype development, ensuring students gain practical experience in creating user-centric data solutions. Through her expertise, she helps bridge the gap between technical data analysis and user-focused design thinking, enabling professionals to create more effective and user-friendly data-driven solutions.
Design Thinking Expert Bridging Data Science and User Experience
Shikha Kanakia serves as a key instructor at Fractal Analytics, specializing in Design Thinking methodologies for data professionals. As the instructor for "Design Thinking for Data Professionals," she brings expertise in combining human-centered design principles with data science applications. Her course focuses on teaching professionals how to analyze decision-making factors, create effective prototypes, and conduct user testing for validation. The curriculum she developed emphasizes practical application of Human-Centered Design principles in product development, helping data professionals understand cognitive and emotional factors in decision-making while developing skills in effective user research. Her teaching methodology incorporates hands-on projects and real-world applications, ensuring students gain practical experience in creating user-centric data solutions. Through her expertise, she helps bridge the gap between technical data analysis and user-focused design thinking, enabling professionals to create more effective and user-friendly data-driven solutions.
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Frequently asked questions
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