Preparatory Program (Starting Soon)
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.
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
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 30 students across both modes. Recordings provided to the cohort. All code runs in Google Colab — no installation required.
₹3,000 · ₹2,000 early-bird (register by 30 June) · same fee for both modes
Probability with R Workshop (Sample Document):
"The workshop provided motivation, freedom and knowledge about use of computer software in study. Thus, paving way to self dependent way of learning and correcting ourselves in finding mean, median, indifference maps, regression coefficients, etc. when we are stuck. Overall a very enjoyable, interactive and knowledge enhancing session :)"
"Better and Long lasting understanding of probability and the most important concepts like CLT and Weak Law of large numbers which we used earlier without realizing its actual working behind it."
"It kept along with everybody's learning pace and hence nobody felt lost even for a short duration. Easily comprehensible and structured way of teaching by Amit Goyal Sir."
"The overall lecture was progressive, began from the very basic to a good level of coding. The hashes used for subtopics made the lecture more meaningful as in the program itself, we could note the required features of R. We were also made to see the graphs of the different features of probability and statistics which were really meaningful and gave us an idea to use those tools to see what's going inside the statistical activities, this was the best part of the workshop. I think this was the part where you can spend more time, it's interesting and really meaningful."
"I was just a beginner. So I learn lots of things from this workshop. This is a very useful workshop for me. Some time to observe the thing in the probability is very difficult, but by using R its very easy to understand the concept. And we can see the things other than concept which are not generally given in the text books."
"The very idea that excel could be applied to huge array of economic applications and many interesting things. The content was superb."
"This was a totally new experience. So learning something new is always good. Course content was nice as we were learning to use the concepts we have already studied in excel."
"The program addressed ways of solving economic problems in a very interesting and user friendly manner. MS Excel is freely available and accessible."
"Octave was a new thing for me. Completely new. Even the coding part. So, i enjoyed it. Got to learn something new."
"I really enjoyed the whole program. It was really interesting. Both the instructors are good. Amit goyal sir thank you so much for this workshop. I would like to attend more workshop like this ."
"Course content was well organized starting, from the basics to advanced computations."
"Overall the program was very informative. "