Courses

Currently, all of our training courses are being held online.

All of our courses are hosted by expert certified trainers and research professionals who teach through a mix of demonstrative and practical sessions to provide high-class, practical training.

You can register for our courses online. To discuss any of our courses or specific training requirements, please call +44 (0) 20 8697 3377 .

2021 Stata Summer School

15th - 20th June 2021 Online 6 days (14th June 2021 - 19th June 2021) Stata

Our Stata Summer school provides a very popular and flexible course framework allowing cost-effective attendance at any course separately, or the entire school. This is a great opportunity for students, academics and professionals to expand their econometrics skills and learn how they can apply econometrics and statistics from professionals pioneering research at the forefront of their specialist fields.

For the first time, we will be running our Summer school entirely online, so you can join from the comfort of your home, anywhere in the world.

Live sessions 10.00-12.00; 13.00-15.00; 15.30-17.00 including Q&A

Data Science for Financial Markets - Co-Developed with Lancaster University

18th - 19th June 2021 Online 2 days (18th June 2021 - 19th June 2021) EViews

Presented By: Dr. Malvina Marchese (Cass Business School, City, University of London)

At times of great uncertainty for financial markets, this course provides participants with an understanding of the time series methods involved in modelling and forecasting financial markets volatilities. Participants will learn how to build, estimate and assess alternative models of volatility of financial time series. Each concepts will be explained from an econometric perspective and by means of many examples and applications in EViews.

Macroeconomic Density Forecasting & Nowcasting

21st - 22nd June 2021 Online 2 days (21st June 2021 - 22nd June 2021) EViews

Presented By: Dr. Andrea Carriero (Queen Mary, University of London)

Whether you deal with forecasting at a Central Bank, public institution, bank or consultancy firm; or you use forecasting techniques in your research, this is the perfect course to bring you up to date with the latest methods in the forecasting profession.

NEW: Economic Modelling and Forecasting using EViews

12th - 19th July 2021 (no session on Sunday) Online 7 days (12th July 2021 - 19th July 2021) EViews

The 2021 EViews Summer School comprises a series of seven 1-day courses running consecutively, with theory and practical applications. All courses will teach econometrics from an applied perspective and demonstrate techniques using EViews 12 software. This edition features many new econometric methodologies which have been introduced in EViews 12. Specifically: long memory dependence in time series models (ARFIMA and FIGARCH and FIEGARCH), second generation panel unit roots tests, machine learning methods for model selection….

Causal Inference using Stata

9th August 2021 Online 1 day (9th August 2021 - 9th August 2021) Stata

Presented By: Dr. Austin Nichols

This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata.

Participants will be introduced to Stata and causal inference using practical examples. The fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques

Causal Inference using Stata

9th August 2021 Online 1 day (9th August 2021 - 9th August 2021) Stata

Presented By: Dr. Austin Nichols

This course is for professionals and researchers from all academic disciplines who wish to improve their use of Stata.

Participants will be introduced to Stata and causal inference using practical examples. The fundamentals of data analysis and visualization will also be taught, using appropriate Stata commands and programming techniques

Time Series Analysis & Forecasting with Stata

16 - 17 September 2021 Online 2 days (16th September 2021 - 17th September 2021) Stata

The aim of this course is to provide participants with an in-depth understanding of the fundamental concepts behind time series modelling and forecasting with Stata. The course will provide the practical skills necessary to use Stata for modeling and forecasting of economic time series.

This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.

Introduction to Linear Mixed Models using Stata

23 September - 24 September 2021 Online 2 days (23rd September 2021 - 24th September 2021) Stata

Presented by Sandro Leidi & James Gallagher

This course is running online, via Zoom.

Mixed models are a modern powerful data analysis tool to analyse clustered data, typically arising in studies where the levels of a factor are a random selection from a wider pool, or in the presence of a multi-level nested structure with different levels of variability.

Potential benefits of mixed models are greater generalisability of results and accommodation of missing values. In particular, mixed models have been used in clinical trials to analyse repeated measures, where measurements taken over time naturally cluster according to patient.

The course will illustrate medical and health related applications of mixed modelling, such as multi-centre trials, cross-over trials, and the analysis of repeated measures. The course focuses on the linear mixed model, assuming normally distributed data, and on how to fit it and interpret its results.

Only essential theoretical aspects of mixed models will be summarised.

Introduction to Generalised Linear Mixed Models using Stata

27th - 28th September 2021 Online 2 days (27th September 2021 - 28th September 2021) Stata

Presented by Sandro Leidi & James Gallagher

This course is running online, via Zoom.

Mixed models have become increasingly popular, as they have many practical applications. However, the traditional linear mixed model with normally distributed errors may not always be appropriate for modelling discrete response variables, such as binary data and counts. Typically these types of responses are analysed using generalised linear models such as logistic regression and Poisson regression.

Commonly-used generalised linear models will be extended to deal with multiple error structures, using a variety of examples, generally drawn from medical and health related fields. Specific applications, such as repeated measurements and multi-centre trials will also be considered. For example, investigating the presence or absence of adverse events collected in a multi-centre clinical trial.

The emphasis will be on practical understanding, although an outline of the theory will be presented. Practical examples will be used to illustrate the methods, and participants will have the opportunity to fit and interpret models themselves in hands-on computer based practicals.

Note this course does not cover marginal or GEE type models, but will consider population-averaged effect measures derived from a generalised linear mixed model.

Advanced Machine Learning using Stata - Co-Developed with Lancaster University

25th - 26th October 2021 Online 2 days (25th October 2021 - 26th October 2021) Stata

Presented by Dr. Giovanni Cerulli

This course will focus on three specific techniques: regression and classification trees (including bagging, random forests, and boosting), kernel-based regression, and global methods (step-wise, polynomial, spline, and series regressions).The teaching approach will be mainly based on the graphical language and intuition more so than on algebra. The training will make use of instructional as well as real-world examples, and will evenly balance theory and practical sessions.

The course is open to people coming from all scientific fields, but it is particularly targeted to researchers working in the medical, epidemiological and socio-economic sciences.

Econometrics of Program Evaluation Using Stata

8th & 9th November, 2021 Online 2 days (8th November 2021 - 9th November 2021) Stata

Presented By: Dr. Giovanni Cerulli

This course will provide participants with the essential tools, both theoretical and applied, for a proper use of modern micro-econometric methods for policy evaluation and causal counterfactual modelling under both assumptions of “selection on observables” and “selection on unobservables”. The course will cover these approaches: Regression adjustment (parametric and nonparametric), Matching (on covariates and on propensity score), Reweighting and Double-robust methods, and Difference-in-differences methods.

Advances in Causal Inference using Stata

22nd - 23rd November 2021 Online 2 days (22nd November 2021 - 23rd November 2021) Stata

Presented by: Dr. Giovanni Cerulli

Econometric modelling for causal inference and program evaluation have witnessed a tremendous development in the last decade, with new approaches and methods addressing an expanding set of challenging problems, both in medical and the social sciences. This course covers some recent developments in causal inference and program evaluation using Stata.

It will provide participants with the essential tools, both theoretical and applied, for a proper use of recent micro-econometric methods for policy evaluation and causal modelling in situations where the standard treatment setting poses limitations.

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