Academics · Grades 7–10
Introduction to Data Science
Where Python meets real data — and the laws numbers obey.
Course overview
- Homework: 60 minutes a week
- Prerequisite: Python Level 1, or equivalent.
What you’ll learn
The working toolkit of data science
- Python and math foundations, sharpened on computational number theory
- NumPy arrays and Pandas tables — how real data is actually held
- Plots that argue: visualization with Matplotlib
- Benford's law and Zipf's law, tested against real data
- Linear regression — your first fitted model
- A final project on a dataset you choose
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Is this the right level?
Students comfortable with basic Python, curious what data can prove. New to Ardent? A short placement confirms the fit. Schedule a placement →