AI & Healthcare
Explore AI in healthcare through real case studies and hands-on, no-code labs in Tableau, building data skills and responsible AI awareness.
AI & Healthcare helps students build a practical foundation in how AI and data analysis are used in life sciences and healthcare. Students learn how to frame a question, evaluate whether data can answer it, and interpret patterns using real examples from healthcare and biomedical contexts. Through hands-on, no-code labs in Tableau, students learn to clean and organize datasets, create meaningful visualizations, and communicate insights with clear evidence. The program also builds responsible data habits that are essential in healthcare settings.
Students learn how data quality issues can change conclusions, how privacy constraints shape what can be collected and shared, and how bias and fairness concerns can affect results and decisions. The program concludes with a team capstone project where students analyze a healthcare-focused dataset, produce a short set of findings with visuals, and present their results to an audience that includes parents, educators, and peers.
Program Details
Start Date
July 13, 2026
End Date
July 24, 2026
Duration
2 weeks
Program Times
2:00 - 4:00 PM PST
Program Cost
$400
Program Information
Prerequisites
- No prior programming experience required
- Comfort with basic algebra and graph interpretation
- Interest in health, biology, life sciences, and technology applications
Program Format
- Live online sessions 2:00 - 4:00 PM PST
- Concepts taught through short lectures with clear visual explanations and real-world healthcare case studies
- Hands-on, no-code labs in Tableau to practice data interpretation and visualization
- Team collaboration for a guided capstone project focused on a healthcare challenge
Curriculum Highlights
- Healthcare Data Foundations (Tableau Labs): Analyze healthcare and life science datasets using Tableau to clean, organize, and identify meaningful patterns
- Data Visualization & Storytelling: Create clear dashboards and visuals to communicate evidence-based insights from health data
- AI and Machine Learning in Life Sciences: Understand how AI and ML are applied across healthcare workflows through real-world case studies
- Responsible Data Use: Evaluate data quality, privacy constraints, bias, and ethical considerations in healthcare contexts
- Capstone Project: Collaborate in teams to analyze a healthcare-focused dataset and present findings with clear visuals and recommendations
Capstone Project & Showcase
Students will complete a team-based capstone project focused on a healthcare challenge, applying program concepts to develop a clear, well-reasoned solution. Working in small groups, students define a problem goal, apply learned techniques to a healthcare theme such as diagnosis support, drug discovery, public health, medical imaging, or bioinformatics, and communicate their conclusions clearly. Students present results on culmination day to an audience that includes parents, educators, guests, instructors, mentors, and peers. Upon successful completion, students receive a certificate recognizing their participation and project work.
Meet the Instructors
Priya brings over 25 years of industry experience across a wide range of technology domains, with a specialization in AI and data. She has worked extensively with large-scale datasets and complex analytical concepts, translating technical work into practical, real-world applications. With more than a decade of teaching experience, she has taught students computer science, Python, AI, and data science, supporting learners at different skill levels. Priya is passionate about working with students to build confidence, curiosity, and responsible problem-solving skills through engaging, hands-on projects.
Anjana brings a strong background in data and AI education, with experience guiding high school students through hands-on projects that connect technical skills to real community needs. She helps students frame meaningful questions, work with real-world datasets, and communicate findings with clarity and confidence. Anjana is passionate about creating an inclusive, supportive classroom where students feel empowered to learn and contribute positively.
Program Registration
Register for AI & Healthcare
Complete the form below to apply for this program.
Testimonials
"This program showed me that I don't need to be a coding expert to work with data. Using Tableau to explore real healthcare datasets was eye-opening and fun!"
— placeholder-student-1 , Grade 8, 2025
"I loved learning about how AI helps doctors diagnose diseases. The capstone project on medical imaging made me realize how powerful data analysis can be."
— placeholder-student-2 , Grade 9, 2025
Frequently Asked Questions
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