Empirical analysis with


Econometrics is a valuable tool for policymakers, businesses, and researchers to understand the complexities of economic data. This module simplifies econometric modeling using MS Excel, SPSS, STATA and Python.

About this module

This module explores the application of econometrics using statistical applications MS Excel, SPSS, STATA and Python. It teaches how to develop statistical models to test economic theories, estimate the impact of economic policies, and make forecasts. You will get familiarised with collecting microeconomic/ macroeconomic/ financial data, selecting appropriate statistical models, estimating the parameters of the models, and testing hypotheses.

What you’ll need

  • SPSS Software package
  • MS Excel
  • STATA software
  • Python
  • 90 hours

Skills you will gain

Time series regression ARIMA Panel data regression OLS regression Assumption testing Hypothesis testing Data mining Data cleaning Correlation Logit & probit regression Linear and nonlinear regression Multiple regression GLM Multivariate regression VECM Data visualisation
Basics of statistics

Strengthen your understanding of quantitative data analysis.

Statistical modeling

Build regression models to test data efficiently.

Trend forecasting

Predict patterns in future economic conditions.


The empirical approach to making informed economic decisions.

Live tuition sessions

Our live tuition sessions are curated for statistical analysis problems requiring you to delve deeper. They include discussions on issues you feel stuck at and can’t find the answer to.  

Focussed sessions

  • Virtual teaching using live demonstration.
  • Illustration for different levels of complexity of datasets.
  • Easy to follow instructions.
  • Tutoring is focused on understanding concepts rather than rote learning.
  • We have customized session agendas keeping with different industry requirements.

Check out our upcoming tuition events in the calendar. Click on the event to view its agenda and book your session.