Registration is open for Seeing Probability: The Law of Large Numbers, the CLT, and Python — a two-day live workshop.
It uses Python simulations to make two central results in probability visible: what convergence looks like when it holds, and what happens when its assumptions are violated.
\bar{X}_n \xrightarrow{\,p\,} \mu \qquad\qquad \sqrt{n}\,(\bar{X}_n - \mu) \xrightarrow{\,d\,} \mathcal{N}(0,\sigma^2)
Python is a tool for exploring the mathematics, not a separate subject. No prior programming experience is required, though you should be comfortable with undergraduate-level probability. All code runs in Google Colab — nothing to install.
At a glance
- Dates: 25 July and 1 August 2026 (two 3-hour live sessions, one week apart)
- Timings: 10:00 AM – 2:00 PM IST
- Mode: Online via Google Meet
- Class size: limited to 20 students
- Fee: ₹2,500
Full details: Workshops & Other Courses – Econschool