Teaching & Training
I have taught at the School of Economics, Quaid-i-Azam University, for most of my career, and I have delivered training workshops for government analysts, researchers and development practitioners. My view is simple: economists must be able to work with data, not just talk about it.
All materials below are open-access. If you use them for your own teaching, a link back is appreciated.
University Courses
Machine Learning, Big Data and AI in Economics
MS course on prediction, classification, text as data and AI tools for economists, with lectures and hands-on labs.
Time Series Econometrics and Macroeconomic Forecasting (EC614)
Stationarity, ARIMA and VAR models, cointegration and forecast evaluation, applied to Pakistan’s macroeconomic data.
Applied Econometrics
Graduate-level course covering regression analysis, time series methods, causal inference, and practical implementation in R and Stata. Materials include lecture slides, R code, and replication exercises.
Econometrics
Core graduate econometrics — OLS, GLS, instrumental variables, panel data, limited dependent variables. Emphasis on understanding assumptions and diagnostics, not just running software.
Data Analytics & Visualization
Introduction to modern data analysis workflows — data wrangling, exploratory analysis, and interactive visualization using R, ggplot2, plotly, and Quarto.
Professional Training Workshops
I regularly deliver workshops for government officials, central bank staff, researchers and NGO analysts. Recent ones include:
Data for Development (D4D), 2026
A five-day workshop with SDPI on data analysis, automation and evidence-based decision making with AI-augmented R workflows (31 August to 4 September 2026).
AI for public policy and teaching
Sessions on using AI in economic policy making for economists of the Ministry of Finance and the Planning Commission, AI workshops for provincial government policy officers, and training for college teachers on using AI in the classroom.
Introduction to R and RStudio / Positron
A five-day hands-on workshop that takes analysts from installing R to producing a reproducible Quarto report, now including AI-assisted analysis.
Other regular topics:
Impact Evaluation
Practical tools for measuring policy impact — randomized controlled trials, difference-in-differences, regression discontinuity, instrumental variables, and matching methods. Hands-on implementation in R.
R Programming for Economists
From zero to productive — installing R/RStudio, data import, tidyverse workflow, regression, visualization, and reproducible reporting with Quarto. Designed for economists and analysts with no prior programming experience.
Data Visualization with R
Interactive charts, maps, and animated graphics using ggplot2, plotly, leaflet, and gganimate. Emphasis on visualizing economic and survey data for policy communication.
Survey Data Analysis
Working with household survey data (PSLM, HIES, PDHS) — sampling weights, complex survey design, tabulation, and regression with survey packages in R.
Quarto for Reproducible Research
Modern scientific publishing with Quarto — documents, presentations, websites, and books. How to make your research reproducible, shareable, and professional.
YouTube
I maintain a YouTube channel with video tutorials on econometrics, R programming, and data analysis. Topics include dummy variables, multicollinearity, economic forecasting, and more.
Teaching Philosophy
Three principles guide my teaching:
Learn by doing. Econometrics is not a spectator sport. Every concept should be implemented with real data before it’s considered understood.
Reproducibility is non-negotiable. If someone can’t replicate your analysis from your code, it’s not really analysis — it’s a claim. I teach students to document every step.
Think critically about numbers. Pakistan’s public discourse is full of statistics used without understanding. I train people not just to produce numbers, but to question them — including the ones they produce themselves.
Invite Me to Train
I am available for customized training workshops for government agencies, research organizations, central banks, and international development programs. Topics can be tailored to your team’s needs and data.