Learn data through pictures, charts & stories
Use real-life examples kids love (games, sports, YouTube, habits)
70% hands-on activities & mini projects
Focus on thinking with data, not memorizing formulas
✔ See before code
✔ Play before calculate
✔ Explore before explain
✔ Build confidence step by step
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By the end of the course, kids can:
✔ Understand what data science is
✔ Collect & organize data neatly
✔ Create charts & graphs
✔ Use simple math for insights
✔ Write beginner data programs
✔ Feel confident for next-level Data Science & AI
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Age Group: 13–16 Years Level: Advanced Total Sessions: 90 Mode: Online / Hybrid 🛠Tools Kids Will Use Python • Pandas • NumPy • Matplotlib • Seaborn • Scikit-learn (guided) • Streamlit (intro) • Real-world datasets 📌 Pre-requisite Intermediate Data Science (Python basics, Pandas, charts, statistics, basic ML ideas)
Age Group: 13–16 Years Level: Intermediate Total Sessions: 60 Mode: Online / Hybrid Tools Used: Python, Jupyter Notebook, Pandas (guided), Matplotlib (visual) Pre-requisite: Beginner Data Science (Data basics, charts, averages, basic Python lists)