Learn to Code with AI and Entertainment

Programmatically analyze pop culture with Python & Cursor

About the Class

If you’re interested in music, movies, video games, books, or trends in pop culture, this class shows you how coding is used behind the scenes to understand what people love and why. You’ll learn programming by analyzing real-world data from artists, films, games, and other parts of today’s entertainment landscape. Each week you’ll create fun, interactive projects that turn fresh pop culture data into clear visuals, rankings, and trend breakdowns.

The class is designed for high school students but is open to anyone ages 13 and up, including adults who want a more engaging way to learn to code. No previous experience is needed, and students only need a laptop (Mac or PC).

Homeschool students who take this class along with Learn to Code with AI and Sports, in addition to either Build Your First App or Build Your First Game, can count the combination as a full credit of high school computer science. A syllabus is available for that purpose; contact us to request a copy before the class begins.

Why Come?

🎵 Learn Python through real pop culture analysis
📊 Work with data from the artists and games you actually follow
📈 Create charts and visualizations you can share
🤝 Learn alongside other pop culture fans and aspiring coders
🚀 Build foundational coding skills in a fun, approachable way

Location:

Bletchley Commons
411 University Ridge
Greenville, SC 29601

Course Details

When:

Wednesdays

Mar 4 - Apr 29

Start:

4:30 PM

End:

5:30 PM

Where:

411 University Ridge

Course Outline

The Eras Tour by the Numbers

Analyze the massive cultural and economic impact of Taylor Swift’s Eras Tour — from sold-out stadiums to record-breaking revenue and fan engagement.

Learn how to set up your environment, run your first real program, explore pop culture datasets, and use AI guidance to generate your first professional-looking visuals.

The Billboard Hit Machine

Analyze what makes a song chart — tempo, energy, danceability, release timing — and build your own ‘Hit Score’ ranking like the Billboard Hot 100.

Learn how programs use numbers, formulas, and weighted scoring systems to rank real-world music data.

Box Office Breakdown: Who Rules the Big Screen?

Break down movie performance the way box-office analysts do — opening weekend strength, audience vs critic scores, franchise trends, and breakout stars.

Learn how code filters, sorts, and groups movie data to reveal patterns that explain blockbuster success.

Video Game Power Rankings

Use gaming data — review scores, player counts, Twitch streams — to create power rankings for top games and analyze which genres are rising or falling.

Learn how datasets combine together, how to merge information from multiple sources, and how to build clean, comparable rankings.

The Page-Turner Analyzer: Books & Fandoms

Explore book ratings, genres, series, and author trends to discover what makes a bestseller — from YA fantasy explosions to viral BookTok favorites.

Learn how to analyze text-based datasets, uncover trends across categories, and generate your own visual book breakdowns.

Influencer Analytics: Who’s Really Growing?

Investigate growth trends across YouTubers, TikTokers, podcasters, and streamers to uncover who’s gaining momentum and why.

Learn how to work with time-series data, track audience growth, and identify breakouts and declines.

The Pop Culture Dashboard

Bring together music, movies, games, and books into a single data dashboard that shows what’s trending across all of pop culture this week.

Learn how to join multiple datasets, build multi-chart visuals, and create a clean, cohesive insights report.