Introduction to AI Development & Environments
Turn raw data into compelling visual stories with Matplotlib, Seaborn, and Plotly — all inside Google Colab.
Course overview
Students master design principles and data storytelling (Observation → Insight → Recommendation) using Python and the most-loved visualization libraries in industry.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
Visual Foundations
Why charts matter (Anscombe’s Quartet). Quick explorations using Pandas .plot() and pivot tables.
Statistical Charts
Gain full layout control with Matplotlib (Figure/Axes) and create stunning distributions with Seaborn.
Interactive Maps
Build dynamic, shareable charts with Plotly animations and interactive real-world maps using Folium.
Data Storytelling
Design accessible charts. Turn observations into actionable insights via a final portfolio project.
What you'll gain
- Production-quality charts with Matplotlib, Seaborn, and Plotly
- Comfort with Google Colab as a daily AI workspace
- Practical data-storytelling framework (Observation → Insight → Recommendation)
- A polished visualization portfolio project
Available classes
Open classes you can enroll in directly. Each class shows its instructor and weekly schedule.
Not sure which class fits? Reach us from the Contact page.
Ready to build with AI?
Schedule a free consultation. We'll help you choose the right track — Builder, Portfolio, Scholar, or Innovation — based on your goals and experience.