AI Data Visualization Mastery Program
Build expertise in cutting-edge data visualization using artificial intelligence tools and techniques. Our comprehensive program prepares you for the future of data storytelling.
Why AI Visualization Matters Now
Data tells stories, but AI helps us tell them better. We've seen companies struggle with mountains of data that never translate into actionable insights. That's exactly what this program addresses.
Our curriculum emerged from real industry needs we encountered while consulting with Taiwan's tech sector. Traditional data visualization can't keep pace with the complexity of modern datasets.
- Hands-on experience with GPT-powered analytics tools
- Real client projects from Taiwan's AI industry
- Machine learning integration for dynamic dashboards
- Portfolio development with actual business cases
What You'll Actually Learn
Every module connects directly to skills employers need right now. We skip theoretical fluff and focus on tools you'll use in your first job.
Foundation Phase
Start with visualization fundamentals before diving into AI integration. We cover Python, D3.js, and statistical thinking.
- Data cleaning and preprocessing
- Statistical visualization principles
- Interactive dashboard basics
AI Integration Intensive
This is where things get interesting. You'll work with machine learning models that generate insights automatically and build visualizations that update themselves based on new data patterns.
- Natural language to chart generation
- Automated anomaly detection visuals
- Predictive visualization models
- AI-assisted color and layout optimization
Industry Applications
Real projects from our Taiwan industry partners. You'll tackle actual business challenges and build a portfolio that employers recognize.
- Financial services dashboards
- Healthcare data visualization
- Manufacturing analytics
Learn From Industry Veterans
Our instructors aren't just teachers - they're actively building AI visualization systems for Fortune 500 companies.
Dr. Marcus Ketola
Senior Data Scientist, Tesla
Specializes in real-time AI dashboard development
Marcus spent five years building the visualization systems that Tesla uses to monitor their autonomous vehicle fleet. He knows what works when you have petabytes of data flowing through your systems every day.
Recent Projects
- Led visualization team for Tesla's Autopilot data analysis platform
- Developed AI-powered anomaly detection for manufacturing quality control
- Published 12 papers on automated chart generation algorithms
Elena comes from Google's data visualization team where she worked on making complex AI models understandable to non-technical stakeholders. She's particularly good at teaching the communication side of data visualization.
Industry Experience
- Design lead for Google's internal AI model explainability tools
- Built visualization systems used by over 10,000 Google employees
- Expert in making technical data accessible to executives
Elena Vasquez
Former Google Data Viz Lead
Expert in user-centered design for complex data
Dr. Priya Nakamura
AI Research Scientist, NVIDIA
Pioneering automated visualization generation
Priya's research at NVIDIA focuses on using AI to automatically generate the best visualization for any given dataset. She holds three patents in automated chart selection and has been featured in MIT Technology Review twice this year.
Research Contributions
- Developed algorithms that choose optimal chart types automatically
- Led NVIDIA's team on AI-generated infographics
- Regular speaker at top data visualization conferences
Sarah bridges the gap between technical capability and business impact. Her background includes building visualization systems for Wall Street trading floors and consulting with Taiwan's financial technology sector.
Business Impact
- Built trading visualization systems processing $2B+ daily volume
- Consulted for 15+ Taiwan fintech companies on data strategy
- Expertise in translating complex data into executive dashboards
Sarah Chen
Former Goldman Sachs VP
Business applications and strategy focus
Program Timeline & Schedule
Our next cohort begins September 15, 2025. The program runs 16 weeks with evening and weekend options to accommodate working professionals. Classes meet twice weekly with additional lab time available.
Foundation Weeks (September 15 - October 12, 2025)
Master the fundamentals of data visualization and statistical thinking. Evening sessions Tuesday/Thursday 6:30-9:30 PM, Saturday labs 10 AM-2 PM.
AI Integration Phase (October 15 - November 25, 2025)
Dive deep into machine learning visualization tools. Same schedule plus additional Thursday evening workshops for hands-on practice with industry datasets.
Industry Project Sprint (November 26 - December 22, 2025)
Work on real client projects in small teams. Flexible scheduling with mentor check-ins and project presentations. Winter break December 23 - January 5.
Portfolio & Career Prep (January 6 - January 26, 2026)
Polish your portfolio, practice technical interviews, and connect with our hiring partners. Final presentations January 24-25, graduation ceremony January 26.
Ready to Transform Your Data Career?
Applications for our Fall 2025 cohort close July 15, 2025. We accept 24 students per cohort to ensure personalized attention and strong industry connections. Early applicants receive priority consideration and scholarship opportunities.
Start Your Application