Econschool runs hands-on workshops in the computational tools of modern economics — Python, R, and AI tools — taught through real problems in economics, probability, and statistics. The sessions build from the ground up, so no prior programming experience is required. You bring a laptop and a willingness to be surprised, and you leave able to settle questions with code.
Upcoming workshops
Seeing Probability: The Law of Large Numbers, the CLT, and Python
This two-day live 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 the theory will use simulations to observe what convergence actually looks like, when it does not occur as expected, and why it matters. 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.
The Law of Large Numbers: \( \bar{X}_n \xrightarrow{\,p\,} \mu \quad \text{as } n \to \infty \)
The Central Limit Theorem: \( \sqrt{n}\,(\bar{X}_n – \mu) \xrightarrow{\,d\,} \mathcal{N}(0,\sigma^2) \)
At a glance
- Format: two 3-hour live sessions, one week apart
- Dates: 25 July and 1 August 2026
- Timings: 10:00 AM – 2:00 PM IST (10:00–11:30, break, 12:30–2:00)
- Mode: in person at YWCA of Delhi, or online via Google Meet — choose at registration
- Class size: limited to 20 students across both modes
- Materials: all code runs in Google Colab, so no installation is required
- Fee: ₹2,500 (same fee for both modes)
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
Learn from past workshops
A sample of material from earlier sessions:
Introduction to Python
Introduction to R
LaTeX workshop
What participants say
“Better and long-lasting understanding of probability and key ideas like the CLT and the Weak Law of Large Numbers — concepts we’d used earlier without realising what was going on behind them.”
“It kept pace with everyone’s learning, so nobody felt lost, even briefly — a clear, well-structured way of teaching.”
“The course content was well organised, starting from the basics and building to advanced computations.”
Stay in the loop
To hear about upcoming workshops and courses, register your interest.