A two-day live workshop · 25 July & 1 August 2026 · 10:00 AM – 2:00 PM IST (10:00–11:30, break, 12:30–2:00)
This workshop uses Python to make two central ideas in probability — the Law of Large Numbers and the Central Limit Theorem — easier to see and understand. Students who already know probability in theory will use simulations to observe what convergence actually looks like, when it does not occur as expected, and why it matters.
Python is used as a tool to explore the mathematics, not as a separate subject. No prior programming experience is required, but students should be familiar with undergraduate-level probability.
What you’ll do
- Build sampling and simulation from first principles in NumPy
- Compute expectations and variances by Monte Carlo, and understand the statistical properties of the estimates themselves
- Watch the LLN converge and watch it fail when its assumptions are violated
- See the CLT emerge from different distributions, and see where it breaks
- Work on a problem set between the two sessions, with selected submissions discussed at the start of Day 2
Format
Two 3-hour live sessions, one week apart. Choose your mode at registration:
- In person at YWCA of Delhi
- Online via Google Meet
Limited to 20 students across both modes. All code runs in Google Colab — no installation required.
Fee
₹2,500 · same fee for both modes
Also see: Workshops & Other Courses