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 .

Panel Data Analysis with Stata

19 - 20th June (10-12 & 2-4pm GMT) Online 2 days (19th June 2020 - 20th June 2020) Stata

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

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 last day.

Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.

Advanced Panel Data Models with Stata

20 -21 July 2020 Online 2 days (20th July 2020 - 21st July 2020) Stata

The course follows the Panel data Analysis with Stata and aims at provide participants with a theoretical and practical understanding of advanced panel methods, i.e. non-linear panel models.

Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.

Introduction to Stata (taught in Mandarin)

22 - 23rd July 2020 (10-12am & 2-4pm GMT) Online 2 days (22nd July 2020 - 23rd July 2020) Stata

The course will be taught in Chinese (Mandarin), all masteries and handouts are written in English.

The course will provide audience with an introduction to the popular and powerful statistical and data management software Stata with a clear applied focus.

Linear and non-linear Regression models in Stata

7 - 8 August 2020 Online 2 days (7th August 2020 - 8th August 2020) Stata

Presented By: Dr. Malvina Marchese

This course is for researchers from all academic disciplines who are new to Stata. The course assumes only limited statistical knowledge and experience of using statistical software. Participants will be introduced to Stata and will be taught the statistical theory behind linear and non-linear regression methods . Practical sessions will use macro economic and finance datasets.

Macroeconomic Density Forecasting & Nowcasting

10 - 11 Aug 2020 (10-12pm & 2-4pm London time) Online 2 days (10th August 2020 - 11th August 2020) Stata

Presented By: Professor 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.

Stata Programming Workshop: Introduction and Advanced

3 - 4, 8 - 9 September 2020 Online 4 days (3rd September 2020 - 9th September 2020) Stata

Presented by Prof. Christopher F Baum, Boston College, USA and Dr. Malvina Marchese, Cass Business School, London

This course will be delivered as an online webinar, via Zoom.

This course is taught in two sections. The first, is for Stata users–professionals and researchers from all academic disciplines–who would like to use Stata programming techniques to enhance the efficiency and reliability of their research. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. The participants will learn how to use do-file programming techniques effectively, including topics such as local and global macros, r-returns and e-returns, implicit and explicit loops and debugging techniques.

The second, is for users who have completed the companion course Introduction to Stata Programming and would like to use more advanced features of the Stata and Mata programming languages. The course assumes familiarity with Stata’s command-line interface and the use of do-files and log files to produce reproducible results. Mata programming techniques will illustrate how this language can be used to simplify and accelerate computations.

Advances in Causal Inference using Stata

14 & 15 September 2020 Online 2 days (14th September 2020 - 15th September 2020) Stata

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.

Introduction to Panel Data Analysis with Stata

18 September & 25 November 2020 (1pm-4pm GMT) Online 3 Hours (18th September 2020 - 25th November 2020) Stata

Our web-based 'Introduction to Panel Data Analysis with Stata' course provides an overview of the most-used panel data techniques and is ideal for the beginner/intermediate-level user who wants to learn how to implement panel data estimation with Stata commands.

An Introduction to Machine Learning using Stata Co Developed with Lancaster University

26-27 October 2020 Online 2 days (26th October 2020 - 27th October 2020) Stata

Presented By: Giovanni Cerulli (IRCrES-CNR)

This course is a primer to machine learning techniques using Stata. Today, various machine learning packages are available within Stata, but some of these are not known to all Stata users. This course fills this gap by making participants familiar with Stata's potential to draw knowledge and value from rows of large, and possibly noisy data. The teaching approach will be based on the graphical language and intuition more than on algebra. The sessions will make use of instructional as well as real-world examples, and will balance theory and practical sessions evenly.

Econometrics of Program Evaluation Using Stata

30 Nov - 1 Dec 2020 Online 2 days (29th November 2020 - 1st December 2020) 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.

Econometrics of Program Evaluation using Stata

30 November - 1 December 2020 Dublin, Ireland 2 days (30th November 2020 - 1st December 2020) Stata

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.

Time Series Analysis & Modelling Using Stata

10 - 11 December 2020 TBC 2 days (10th December 2020 - 11th December 2020) Stata

Presented By: Dr George Naufal (Public Policy Research Institute (PPRI), Texas A&M University)

Time series data are nowadays collected for several phenomena in social and empirical sciences. Initially collected at year or quarter level, time series data are now used by marketing analytics, financial technology, and other fields in which data are collected at much smaller intervals (daily, hourly and even by the minute). This course focuses on the fundamental concepts required for the analysis, modelling and forecasting of time series data and provides an introduction to the theoretical foundation of time series models alongside a practical guide to the use of time series analysis techniques implemented in Stata 15. The course is based on the textbook by S. Boffelli and G. Urga (2016), Financial Econometrics Using Stata, Stata Press Publication.

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