Courses

This 3-day course will focus on the fundamental concepts required for the analysis, modelling and forecasting of time series data using Stata. 

Our web based Regression Analysis with EViews course provides a complete and comprehensive discussion of linear and non-linear, simple and multiple, regression models with EViews.

Our web based Regression Analysis with EViews course provides a complete and comprehensive discussion of linear and non-linear, simple and multiple, regression models with EViews.

This web-based half-day training course provides a complete introduction to Stata and is ideal for the new or beginner level user who wants to have a head start and learn how to use Stata efficiently.

This web-based half-day training course provides a complete introduction to Stata and is ideal for the new or beginner level user who wants to have a head start and learn how to use Stata efficiently.

Our web based Introduction to Time Series Analysis with Stata course provides an introduction to most important Stata’s Time Series Commands. The course is ideal for beginner/intermediate level user who wants to learn how to analyse time-series data and estimate univariate time-series models.

Our web based Financial Time Series Analysis with EViews course provides a complete introduction to time series modelling and forecasting with EViews. It provides a good and practical understating of the best performing univariate and multivariate time series models used in financial applications and strong background in forecasting.

Our web based Financial Time Series Analysis with EViews course provides a complete introduction to time series modelling and forecasting with EViews. It provides a good and practical understating of the best performing univariate and multivariate time series models used in financial applications and strong background in forecasting.

This two-day course will explore two important topics in Econometrics; Panel Data estimation and the use of factor models in economic forecasting and analysis.

The course provides an introduction to the theory and practice of economic forecasting facing a nonstationary and evolving world, when the model differs from the data generation process (DGP). It covers the modelling methodology, practice, implementation and evaluation of economic forecasting, the main sources of forecast error leading to the possible robustification of forecasts.

This course will show you how to save time and avoid errors. You will discover tips and tricks to help get your programs to check for potential problems and ensuring your software carries on working with new data, with the need for less maintenance.

This course will show you how to save time and avoid errors. You will discover tips and tricks to help get your programs to check for potential problems and ensuring your software carries on working with new data, with the need for less maintenance.