Practical training in data analysis, applied econometrics and research methods for students, researchers and professionals. The courses connect statistical reasoning with reproducible analysis in STATA.
Each programme integrates statistical reasoning, research design and reproducible STATA analysis around participants’ research questions and data.
A practical introduction to working with data, producing descriptive statistics and graphs, Anova, OLS and interpreting results.
Model selection, specification, interpretation and diagnostics, including linear, binary-outcome, count and panel-data models.
Moving from a research question and conceptual framework to data preparation, empirical analysis, transparent documentation and research communication.
The companion learning site brings together concise explanations, practical command examples and short videos. It is designed to help learners move between the research question, the appropriate statistical method and the STATA syntax required for the analysis.
Visit the STATA learning siteExplore short demonstrations of STATA commands, data management, graphs and regression analysis on Dr. Nisha Malhotra’s educational YouTube channel. The videos complement the organized lessons and command examples available on the free resource site.
Video demonstrations for independent learning and course review
Visit the YouTube channelDr. Nisha Malhotra is an economist, quantitative researcher and educator. She holds a Ph.D. in Economics from the University of Maryland, College Park, and an M.A. in Economics from the Delhi School of Economics. At the University of British Columbia, she taught economics, econometrics, research methods and applied data analysis for more than two decades, working with undergraduate and graduate students and providing research mentorship and quantitative-methods training.
Her teaching is grounded in applied research spanning economics, epidemiology, health systems, public and global health, development, gender, public policy and international trade. She has published quantitative studies using large population datasets and has served on the Scientific Committee of the STATA Conference Canada, organized by STATA, Inc.
Training can be adapted to participants’ experience, research questions and datasets, with applications drawn from economics, epidemiology, biostatistics, public health, global health, health-services research and public policy.
Course content and examples can be adjusted to participants’ experience, research questions and disciplinary context.